KR102482533B1 - Blockchain-based device and method for virtual asset management - Google Patents

Abstract

Embodiments of the present invention provide a value management device and method. A virtual management device according to an embodiment of the present invention comprises: a user management unit that is implemented on the basis of a blockchain for recording a smart contract, e.g., by being communicatively connected to the blockchain containing a plurality of nodes to connect a new block to each of the plurality of nodes and receives, from a user terminal, account information including a login ID and a password, user information including a user private key used to authenticate access to the blockchain, and contract information including verification information about an entrusted asset and virtual asset issuance condition information corresponding to the entrusted asset; a contract processing unit that creates a first smart contract based on the user information and the contract information and records the first smart contract in the blockchain; and a virtual asset issuance unit that is listed on the Exchange to issue the virtual asset corresponding to the entrusted asset with an exchange value for real currency or a reference asset listed on the Exchange and to record the virtual asset in the blockchain, wherein the contract processing unit creates a second smart contract recording disposal conditions of the virtual asset with program codes to record the second smart contract in the blockchain on the basis of P (1), which is the value of the virtual asset evaluated at the Exchange at a first-time point when the virtual asset is issued and P (2), which is the value obtained by adjusting the P (1) as much as a threshold number set based on the virtual asset issuance condition information.

Description

Blockchain-based virtual asset management device and method {BLOCKCHAIN-BASED DEVICE AND METHOD FOR VIRTUAL ASSET MANAGEMENT}

Embodiments of the present invention relate to a virtual asset management device and method, and more specifically, to issue and manage virtual assets corresponding to real assets based on blockchain technology, and to change the value of virtual assets using artificial intelligence. It is about a device and method that automatically executes a smart contract as it becomes.

The background art to be described below is possessed or acquired by the inventor in the process of deriving the disclosure of the present application, and cannot necessarily be said to be known art disclosed to the general public prior to the present application.

Smart contract is a computerized transaction promise that executes the elements necessary for the contract by itself through code according to the code principle that code is law. , it is a technology that automatically executes the contents of the contract by executing the program code when the contract condition is satisfied. Any type of contract, such as a real estate transaction, a used car transaction, or a trade transaction, can be automatically executed by coding the contract period, amount, and conditions in advance using a programming language.

In order to guarantee the reliability of smart contracts, Block Chain is an algorithm that combines multiple transactions to form a block, connects multiple blocks like a chain using hashes, and then copies and distributes them to multiple people. ) technique is used. Cryptocurrency, a new currency based on blockchain, is distributed and stored as data in complexly connected blocks such as chains. A seller who wants to sell cryptocurrency and a buyer who wants to buy cryptocurrency can trade cryptocurrency through their own electronic wallet.

In addition, non-fungible tokens (NFTs) can be issued and stored using blockchain technology. A non-fungible token is a unit of data stored on a blockchain that is unique and non-interchangeable. Non-fungible tokens can be used to represent photos, videos, audios and other types of digital files, virtualizing intangible assets such as copyrighted works to prove their authenticity and enabling transactions through the blockchain.

Transactions of virtual assets such as blockchain-based cryptocurrencies and non-fungible tokens are often performed based on smart contracts. However, unlike traditional asset trading markets such as bonds and stocks, the trading market of virtual assets is not yet large, so it is difficult to control its value volatility. In particular, in the case of smart contracts programmed based on the value of virtual assets, the need for a safety device to prevent automatic conclusion of unexpected contracts is required.
Prior literature related to this is Patent Registration No. 10-2302955 (2021.09.16.), Patent Publication No. 10-2020-0041182 (2020.04.21.), Patent Publication No. 10-2020-0018893 ( 2020.02.21.), and Patent Publication No. 10-2022-0087411 (2022.06.24.).

Embodiments provide a virtual asset management device and method for issuing and managing virtual assets based on a blockchain.

Technical tasks to be achieved in the embodiments are not limited to those mentioned above, and other technical tasks not mentioned will be considered by those skilled in the art from various embodiments to be described below. can

Virtual asset management device according to an embodiment of the present invention, account information including a login ID and password from a user terminal, user information including a user private key used for authentication of access to the blockchain, and entrusted assets a user management unit receiving contract information including verification information for the entrusted asset and information on issuing conditions of the virtual asset corresponding to the entrusted asset; a contract processor generating and recording a first smart contract on the blockchain based on the user information and the contract information; and a virtual asset issuing unit that is listed on an exchange and has a real currency or exchange value with a reference asset listed on the exchange and issues the virtual asset corresponding to the entrusted asset and records it in the blockchain. , P(1), which is the value of the virtual asset evaluated at the exchange at the first time point of issuing the virtual asset, and the P(1) by a threshold value set based on the virtual asset issuance condition information It may be characterized in that a second smart contract in which the disposition condition of the virtual asset based on the adjusted value P(2) is recorded as a program code is created and recorded in the blockchain.

In one embodiment, the P(2) is the value of the virtual asset evaluated on the exchange at a second time following the first time, and the second smart contract includes a first time including the second time. In the time interval, an execution condition may be set based on P(3), which is an average value of the virtual asset evaluated in the exchange.

[mathematical expression]

In one embodiment, the P(3) is determined by the above equation, where t3 is the start time of the first time interval, t4 is the end time of the first time interval, and L(t) is It may mean the size of the first time interval.

[mathematical expression]

In one embodiment, the second smart contract is executed only when the P(3) satisfies the condition of the equation, wherein V is the volatility index and L(t) is the first time period. can mean the size of

In one embodiment, the entrusted assets are classified into a plurality of types including a first type including real estate, bonds, currency, and the like, and a second type including intangible intellectual property such as copyrighted works and patent rights, and the contract processing unit , Valuation information on the entrusted asset classified as the second type may be provided from an external institution, and the first smart contract may be created based on the value evaluation information.

In one embodiment, the virtual asset may be a cryptocurrency or a non-fungible token (NFT).

In one embodiment, the asset value correction unit further includes, wherein the asset value correction unit corrects the value of the virtual asset evaluated at the exchange at a specific time using a value change amount correction model, and the value change amount correction model includes an input layer, one or more hidden layers, and an output layer, and the value evaluation information and a plurality of learning data about the value of the virtual asset are input to the input layer of the value variation correction model, and the one or more hidden layers and An output vector is output by passing through an output layer, the output vector is input to a loss function layer connected to the output layer, and the loss function layer generates a loss function that compares the output vector with the correct answer vector for each training data. A loss value may be output using the method, and parameters of the value variation correction model may be learned in a direction in which the loss value becomes smaller.

In one embodiment, the encryption unit for processing by encrypting and decrypting the user information and the contract information; may further include.

In a method for managing virtual assets according to another embodiment of the present invention, account information including a login ID and password from a user terminal and user information including a user private key used for authentication of access to the blockchain are provided by a user management unit. , and contract information including verification information on the entrusted asset and virtual asset issuance condition information corresponding to the entrusted asset, and the contract processing unit generates a first smart contract based on the user information and the contract information. and record it on the blockchain, and by the virtual asset issuing unit, issuing the virtual asset corresponding to the entrusted asset with a real currency listed on the exchange and having an exchange value with a reference asset listed on the exchange, and issuing the virtual asset to the blockchain and P(1), which is the value of the virtual asset evaluated at the exchange at the first point of time when the virtual asset is issued by the contract processing unit, and the P(1), the virtual asset issuance condition information The disposition condition of the virtual asset based on P(2), which is a value adjusted by a threshold value set based on , may include generating a second smart contract recorded in program code and recording it in the blockchain.

In one embodiment, the virtual asset may be a cryptocurrency or a non-fungible token (NFT).

An apparatus and method for managing virtual assets according to embodiments of the present invention record and store issued virtual assets in a blockchain, generate details of issued virtual assets as a smart contract, record and store them in a blockchain, and record and store issued virtual assets in a blockchain. Create a smart contract that includes the transaction execution conditions of virtual assets, record and store it in the blockchain. Through this, it is possible to safely manage virtual assets created (issued) in response to the user's real assets.

Effects obtainable from the embodiments are not limited to the effects mentioned above, and other effects not mentioned are clearly derived and understood by those skilled in the art based on the detailed description below. It can be.

BRIEF DESCRIPTION OF THE DRAWINGS Included as part of the detailed description to aid understanding of the embodiments, the accompanying drawings provide various embodiments and, together with the detailed description, describe technical features of the various embodiments.
1 is a diagram showing the configuration of an electronic device according to an embodiment of the present invention.
2 is a diagram showing the configuration of a program according to an embodiment of the present invention.
3 is a diagram schematically illustrating a blockchain network environment to which a virtual asset management device according to an embodiment of the present invention is connected.
4 is a block diagram showing the structure of the virtual asset management device of FIG. 3 .
5 is a diagram for explaining the SVM algorithm.
6 is a flowchart for explaining the operation of the virtual asset management device according to an embodiment of the present invention.
7 is a graph showing the change in the value of a virtual asset over time in an exchange.
8 is a flowchart illustrating an operation of a virtual asset management device according to another embodiment of the present invention.
9 is a graph for explaining a volatility index.
10 is a block diagram illustrating a server related to a virtual asset management device according to an embodiment of the present invention.

The following embodiments combine elements and features of the embodiments in a predetermined form. Each component or feature may be considered optional unless explicitly stated otherwise. Each component or feature may be implemented in a form not combined with other components or features. In addition, various embodiments may be configured by combining some components and/or features. The order of operations described in various embodiments may be changed. Some components or features of one embodiment may be included in another embodiment, or may be replaced with corresponding components or features of another embodiment.

In the description of the drawings, procedures or steps that may obscure the gist of various embodiments are not described, and procedures or steps that can be understood by those skilled in the art are not described. did

Throughout the specification, when a part is said to "comprising" or "including" a certain element, it means that it may further include other elements, not excluding other elements, unless otherwise stated. do. In addition, terms such as “… unit”, “… unit”, and “module” described in the specification mean a unit that processes at least one function or operation, which is hardware or software or a combination of hardware and software. can be implemented as Also, “a or an”, “one”, “the” and like terms are used herein in the context of describing various embodiments (particularly in the context of the claims below). Unless otherwise indicated or clearly contradicted by context, both the singular and the plural can be used.

Hereinafter, embodiments according to various embodiments will be described in detail with reference to the accompanying drawings. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The detailed description set forth below in conjunction with the accompanying drawings is intended to describe exemplary embodiments of various embodiments, and is not intended to represent a single embodiment.

In addition, specific terms used in various embodiments are provided to help understanding of various embodiments, and the use of these specific terms may be changed into other forms without departing from the technical spirit of various embodiments. .

1 is a diagram showing the configuration of an electronic device according to an embodiment of the present invention.

1 is a block diagram of an electronic device 101 within a network environment 100, according to various embodiments. Referring to FIG. 1 , in a network environment 100, an electronic device 101 communicates with an electronic device 102 through a first network 198 (eg, a short-range wireless communication network) or through a second network 199. It may communicate with at least one of the electronic device 104 or the server 108 through (eg, a long-distance wireless communication network). According to an embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108 . According to an embodiment, the electronic device 101 includes a processor 120, a memory 130, an input module 150, an audio output module 155, a display module 160, an audio module 170, a sensor module ( 176), interface 177, connection terminal 178, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196 , or the antenna module 197 may be included. In some embodiments, in the electronic device 101, at least one of these components (eg, the connection terminal 178) may be omitted or one or more other components may be added. In some embodiments, some of these components (eg, sensor module 176, camera module 180, or antenna module 197) are integrated into a single component (eg, display module 160). It can be. The electronic device 101 may also be referred to as a client, terminal, or peer.

The processor 120, for example, executes software (eg, the program 140) to cause at least one other component (eg, hardware or software component) of the electronic device 101 connected to the processor 120. It can control and perform various data processing or calculations. According to one embodiment, as at least part of data processing or operation, processor 120 transfers instructions or data received from other components (e.g., sensor module 176 or communication module 190) to volatile memory 132. , processing commands or data stored in the volatile memory 132 , and storing resultant data in the non-volatile memory 134 . According to one embodiment, the processor 120 includes a main processor 121 (eg, a central processing unit or an application processor) or a secondary processor 123 (eg, a graphic processing unit, a neural network processing unit ( NPU: neural processing unit (NPU), image signal processor, sensor hub processor, or communication processor). For example, when the electronic device 101 includes the main processor 121 and the auxiliary processor 123, the auxiliary processor 123 may use less power than the main processor 121 or be set to be specialized for a designated function. can The secondary processor 123 may be implemented separately from or as part of the main processor 121 .

The secondary processor 123 may, for example, take the place of the main processor 121 while the main processor 121 is in an inactive (eg, sleep) state, or the main processor 121 is active (eg, running an application). ) state, together with the main processor 121, at least one of the components of the electronic device 101 (eg, the display module 160, the sensor module 176, or the communication module 190) It is possible to control at least some of the related functions or states. According to one embodiment, the auxiliary processor 123 (eg, an image signal processor or a communication processor) may be implemented as part of other functionally related components (eg, the camera module 180 or the communication module 190). there is. According to an embodiment, the auxiliary processor 123 (eg, a neural network processing device) may include a hardware structure specialized for processing an artificial intelligence model. AI models can be created through machine learning. Such learning may be performed, for example, in the electronic device 101 itself where the artificial intelligence model is performed, or may be performed through a separate server (eg, the server 108). The learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning or reinforcement learning, but in the above example Not limited. The artificial intelligence model may include a plurality of artificial neural network layers. Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the foregoing, but is not limited to the foregoing examples. The artificial intelligence model may include, in addition or alternatively, software structures in addition to hardware structures.

The memory 130 may store various data used by at least one component (eg, the processor 120 or the sensor module 176) of the electronic device 101 . The data may include, for example, input data or output data for software (eg, program 140) and commands related thereto. The memory 130 may include volatile memory 132 or non-volatile memory 134 .

The program 140 may be stored as software in the memory 130 and may include, for example, an operating system 142 , middleware 144 , or an application 146 .

The input module 150 may receive a command or data to be used by a component (eg, the processor 120) of the electronic device 101 from the outside of the electronic device 101 (eg, a user). The input module 150 may include, for example, a microphone, a mouse, a keyboard, a key (eg, a button), or a digital pen (eg, a stylus pen).

The sound output module 155 may output sound signals to the outside of the electronic device 101 . The sound output module 155 may include, for example, a speaker or a receiver. The speaker can be used for general purposes such as multimedia playback or recording playback. A receiver may be used to receive an incoming call. According to one embodiment, the receiver may be implemented separately from the speaker or as part of it.

The display module 160 may visually provide information to the outside of the electronic device 101 (eg, a user). The display module 160 may include, for example, a display, a hologram device, or a projector and a control circuit for controlling the device. According to an embodiment, the display module 160 may include a touch sensor configured to detect a touch or a pressure sensor configured to measure the intensity of force generated by the touch.

The audio module 170 may convert sound into an electrical signal or vice versa. According to an embodiment, the audio module 170 acquires sound through the input module 150, the sound output module 155, or an external electronic device connected directly or wirelessly to the electronic device 101 (eg: Sound may be output through the electronic device 102 (eg, a speaker or a headphone).

The sensor module 176 detects an operating state (eg, power or temperature) of the electronic device 101 or an external environmental state (eg, a user state), and generates an electrical signal or data value corresponding to the detected state. can do. According to one embodiment, the sensor module 176 may include, for example, a gesture sensor, a gyro sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an infrared (IR) sensor, a bio sensor, It may include a temperature sensor, humidity sensor, or light sensor.

The interface 177 may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device 101 to an external electronic device (eg, the electronic device 102). According to one embodiment, the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

The connection terminal 178 may include a connector through which the electronic device 101 may be physically connected to an external electronic device (eg, the electronic device 102). According to one embodiment, the connection terminal 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).

The haptic module 179 may convert electrical signals into mechanical stimuli (eg, vibration or motion) or electrical stimuli that a user may perceive through tactile or kinesthetic senses. According to one embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module 180 may capture still images and moving images. According to one embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.

The power management module 188 may manage power supplied to the electronic device 101 . According to one embodiment, the power management module 188 may be implemented as at least part of a power management integrated circuit (PMIC), for example.

The battery 189 may supply power to at least one component of the electronic device 101 . According to one embodiment, the battery 189 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.

The communication module 190 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 101 and an external electronic device (eg, the electronic device 102, the electronic device 104, or the server 108). Establishment and communication through the established communication channel may be supported. The communication module 190 may include one or more communication processors that operate independently of the processor 120 (eg, an application processor) and support direct (eg, wired) communication or wireless communication. According to one embodiment, the communication module 190 may be a wireless communication module 192 (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (eg, a : a local area network (LAN) communication module or a power line communication module). Among these communication modules, a corresponding communication module is a first network 198 (eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 199 (eg, legacy It may communicate with the external electronic device 104 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a telecommunications network such as a computer network (eg, a LAN or a WAN). These various types of communication modules may be integrated as one component (eg, a single chip) or implemented as a plurality of separate components (eg, multiple chips). The wireless communication module 192 uses subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 196 within a communication network such as the first network 198 or the second network 199. The electronic device 101 may be identified or authenticated.

The wireless communication module 192 may support a 5G network after a 4G network and a next-generation communication technology, for example, NR access technology (new radio access technology). NR access technologies include high-speed transmission of high-capacity data (enhanced mobile broadband (eMBB)), minimization of terminal power and access of multiple terminals (massive machine type communications (mMTC)), or high reliability and low latency (ultra-reliable and low latency (URLLC)). -latency communications)) can be supported. The wireless communication module 192 may support a high frequency band (eg, mmWave band) to achieve a high data rate, for example. The wireless communication module 192 uses various technologies for securing performance in a high frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), and full-dimensional multiplexing. Technologies such as input/output (FD-MIMO: full dimensional MIMO), array antenna, analog beam-forming, or large scale antenna may be supported. The wireless communication module 192 may support various requirements defined for the electronic device 101, an external electronic device (eg, the electronic device 104), or a network system (eg, the second network 199). According to one embodiment, the wireless communication module 192 may be used to realize peak data rate (eg, 20 Gbps or more) for realizing eMBB, loss coverage (eg, 164 dB or less) for realizing mMTC, or U-plane latency (for realizing URLLC). Example: downlink (DL) and uplink (UL) each of 0.5 ms or less, or round trip 1 ms or less) may be supported.

The antenna module 197 may transmit or receive signals or power to the outside (eg, an external electronic device). According to an embodiment, the antenna module 197 may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (eg, PCB). According to one embodiment, the antenna module 197 may include a plurality of antennas (eg, an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network such as the first network 198 or the second network 199 is selected from the plurality of antennas by the communication module 190, for example. can be chosen A signal or power may be transmitted or received between the communication module 190 and an external electronic device through the selected at least one antenna. According to some embodiments, other components (eg, a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module 197 in addition to the radiator.

According to various embodiments, the antenna module 197 may form a mmWave antenna module. According to one embodiment, the mmWave antenna module includes a printed circuit board, an RFIC disposed on or adjacent to a first surface (eg, a lower surface) of the printed circuit board and capable of supporting a designated high frequency band (eg, mmWave band); and a plurality of antennas (eg, array antennas) disposed on or adjacent to a second surface (eg, a top surface or a side surface) of the printed circuit board and capable of transmitting or receiving signals of the designated high frequency band. can do.

At least some of the components are connected to each other through a communication method between peripheral devices (eg, a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)) and signal ( e.g. commands or data) can be exchanged with each other.

According to an embodiment, commands or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199 . Each of the external electronic devices 102 or 104 may be the same as or different from the electronic device 101 . According to an embodiment, all or part of operations executed in the electronic device 101 may be executed in one or more external electronic devices among the external electronic devices 102 , 104 , or 108 . For example, when the electronic device 101 needs to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device 101 instead of executing the function or service by itself. Alternatively or additionally, one or more external electronic devices may be requested to perform the function or at least part of the service. One or more external electronic devices receiving the request may execute at least a part of the requested function or service or an additional function or service related to the request, and deliver the execution result to the electronic device 101 . The electronic device 101 may provide the result as at least part of a response to the request as it is or additionally processed. To this end, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used. The electronic device 101 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device 104 may include an internet of things (IoT) device. Server 108 may be an intelligent server using machine learning and/or neural networks. According to one embodiment, the external electronic device 104 or server 108 may be included in the second network 199 . The electronic device 101 may be applied to intelligent services (eg, smart home, smart city, smart car, or health care) based on 5G communication technology and IoT-related technology.

The server 108 is connected to the electronic device 101 and can provide a service to the connected electronic device 101 . In addition, the server 108 may proceed with a membership sign-up procedure, store and manage various types of information of users subscribed as members, and provide various purchase and payment functions related to services. In addition, the server 108 may share execution data of service applications executed in each of the plurality of electronic devices 101 in real time so that the service can be shared among users. This server 108 may have the same configuration as a conventional web server or WAP server in terms of hardware. However, in terms of software, it may include a program module that is implemented through any language such as C, C++, Java, Visual Basic, or Visual C and performs various functions. In addition, the server 108 is generally connected to an unspecified number of clients and/or other servers through an open computer network such as the Internet, and receives requests from clients or other servers to perform tasks and derives and provides work results. It means a computer system and the computer software (server program) installed for it. In addition, the server 108, in addition to the above-described server program, a series of application programs operating on the server 108 and various databases (DB: Database, hereinafter referred to as It should be understood as a broad concept including DB"). Accordingly, the server 108 classifies member registration information and various information and data about games, stores them in a DB, and manages them. This DB may be implemented inside or outside the server 108 . In addition, the server 108 uses a server program provided in various ways according to operating systems such as DOS, Windows, Linux, UNIX, and Macintosh in general server hardware. As a representative example, a website used in a Windows environment, Internet Information Server (IIS), and CERN, NCSA, APPACH, etc. used in a Unix environment can be used. In addition, the server 108 may interoperate with an authentication system and a payment system for user authentication of services or payment for purchases related to services.

The first network 198 and the second network 199 are a connection structure capable of exchanging information between nodes such as terminals and servers, or a network connecting the server 108 and the electronic devices 101 and 104. means (Network). The first network 198 and the second network 199 include Internet, Local Area Network (LAN), Wireless Local Area Network (Wireless Local Area Network), Wide Area Network (WAN), Personal Area Network (PAN), and 3G , 4G, LTE, 5G, Wi-Fi, etc., but are not limited thereto. The first network 198 and the second network 199 may be closed first networks 198 and second networks 199 such as LAN and WAN, but are preferably open such as the Internet. The Internet is based on the TCP/IP protocol and several services that exist on its upper layer, such as HTTP (HyperText Transfer Protocol), Telnet, FTP (File Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail Transfer Protocol), SNMP ( Simple Network Management Protocol), Network File Service (NFS), and Network Information Service (NIS).

The database may have a general data structure implemented in a storage space (hard disk or memory) of a computer system using a database management program (DBMS). The database may have a data storage form in which data can be freely searched for (extracted), deleted, edited, added, and the like. Databases are relational database management systems (RDBMS) such as Oracle, Informix, Sybase, and DB2, or object-oriented database management such as Gemston, Orion, and O2. It can be implemented according to the purpose of an embodiment of the present disclosure using a system (OODBMS) and XML Native Databases such as Excelon, Tamino, and Sekaiju, and its functions may have appropriate fields or elements to achieve.

2 is a diagram showing the configuration of a program according to an embodiment of the present invention.

2 is a block diagram 200 illustrating a program 140 according to various embodiments. According to one embodiment, the program 140 includes an operating system 142, middleware 144, or an application 146 executable in the operating system 142 for controlling one or more resources of the electronic device 101. can include The operating system 142 may include, for example, Android™, iOS™, Windows™, Symbian™, Tizen™, or Bada™. At least some of the programs 140 are, for example, preloaded in the electronic device 101 at the time of manufacture, or when used by a user, an external electronic device (eg, the electronic device 102 or 104), or a server ( 108)) can be downloaded or updated. All or part of program 140 may include a neural network.

The operating system 142 may control management (eg, allocation or reclamation) of one or more system resources (eg, process, memory, or power) of the electronic device 101 . Operating system 142 may additionally or alternatively include other hardware devices of electronic device 101 , such as input module 150 , sound output module 155 , display module 160 , audio module 170 . , sensor module 176, interface 177, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196, or It may include one or more driver programs for driving the antenna module 197.

The middleware 144 may provide various functions to the application 146 so that the function or information provided from one or more resources of the electronic device 101 may be used by the application 146 . The middleware 144 includes, for example, the application manager 201, the window manager 203, the multimedia manager 205, the resource manager 207, the power manager 209, the database manager 211, and the package manager 213. ), connectivity manager 215, notification manager 217, location manager 219, graphics manager 221, security manager 223, call manager 225, or voice recognition manager 227. can

The application manager 201 may manage the life cycle of the application 146 , for example. The window manager 203 may manage one or more GUI resources used in a screen, for example. The multimedia manager 205 identifies, for example, one or more formats necessary for reproducing media files, and encodes or decodes a corresponding media file among the media files using a codec suitable for the selected format. can be done The resource manager 207 may manage a source code of the application 146 or a memory space of the memory 130 . The power manager 209 may manage, for example, the capacity, temperature, or power of the battery 189, and determine or provide related information necessary for the operation of the electronic device 101 by using corresponding information among them. . According to an embodiment, the power manager 209 may interwork with a basic input/output system (BIOS) (not shown) of the electronic device 101 .

The database manager 211 may create, search, or change a database to be used by the application 146, for example. The package manager 213 may manage installation or update of applications distributed in the form of package files, for example. The connectivity manager 215 may manage, for example, a wireless connection or a direct connection between the electronic device 101 and an external electronic device. The notification manager 217 may provide a function for notifying a user of occurrence of a designated event (eg, an incoming call, message, or alarm), for example. The location manager 219 may manage location information of the electronic device 101, for example. The graphic manager 221 may manage, for example, one or more graphic effects to be provided to a user or a user interface related thereto.

Security manager 223 may provide system security or user authentication, for example. The telephony manager 225 may manage, for example, a voice call function or a video call function provided by the electronic device 101 . The voice recognition manager 227 transmits, for example, the user's voice data to the server 108, and at least partially based on the voice data, a command corresponding to a function to be performed in the electronic device 101; Alternatively, text data converted at least partially based on the voice data may be received from the server 108 . According to one embodiment, the middleware 244 may dynamically delete some existing components or add new components. According to one embodiment, at least part of the middleware 144 may be included as part of the operating system 142 or may be implemented as separate software different from the operating system 142 .

The application 146 includes, for example, a home 251, a dialer 253, an SMS/MMS 255, an instant message (IM) 257, a browser 259, a camera 261, and an alarm 263. , Contacts (265), Voice Recognition (267), Email (269), Calendar (271), Media Player (273), Albums (275), Watch (277), Health (279) (e.g. exercise or blood sugar) measurement of biometric information) or environmental information 281 (eg, measurement of atmospheric pressure, humidity, or temperature information). According to an embodiment, the application 146 may further include an information exchange application (not shown) capable of supporting information exchange between the electronic device 101 and an external electronic device. The information exchange application may include, for example, a notification relay application configured to transmit designated information (eg, a call, message, or alarm) to an external electronic device, or a device management application configured to manage an external electronic device. there is. The notification relay application, for example, transmits notification information corresponding to a designated event (eg, mail reception) generated in another application (eg, the email application 269) of the electronic device 101 to an external electronic device. can Additionally or alternatively, the notification relay application may receive notification information from an external electronic device and provide the notification information to the user of the electronic device 101 .

The device management application is, for example, a power source (eg, turn-on or turn-off) of an external electronic device that communicates with the electronic device 101 or some component thereof (eg, a display module or a camera module of the external electronic device). ) or functions (eg brightness, resolution, or focus). The device management application may additionally or alternatively support installation, deletion, or update of an application operating in an external electronic device.

Throughout this specification, a neural network, a neural network, and a network function may be used interchangeably. A neural network may consist of a set of interconnected computational units, which may be generally referred to as “nodes”. These “nodes” may also be referred to as “neurons”. A neural network includes at least two or more nodes. Nodes (or neurons) constituting neural networks may be interconnected by one or more “links”.

In a neural network, two or more nodes connected through a link may form a relative relationship of an input node and an output node. The concept of an input node and an output node is relative, and any node in an output node relationship with one node may have an input node relationship with another node, and vice versa. As described above, the input node to output node relationship can be created around the link. More than one output node can be connected to one input node through a link, and vice versa.

In a relationship between an input node and an output node connected through one link, the value of the output node may be determined based on data input to the input node. Here, a node interconnecting the input node and the output node may have a weight. The weight may be variable, and may be changed by a user or an algorithm in order for the neural network to perform a desired function. For example, when one or more input nodes are interconnected by respective links to one output node, the output node is set to a link corresponding to values input to input nodes connected to the output node and respective input nodes. An output node value may be determined based on the weight.

As described above, in a neural network, two or more nodes are interconnected through one or more links to form an input node and output node relationship in the neural network. Characteristics of the neural network may be determined according to the number of nodes and links in the neural network, an association between the nodes and links, and a weight value assigned to each link. For example, when there are two neural networks having the same number of nodes and links and different weight values between the links, the two neural networks may be recognized as different from each other.

In addition, memory includes ROM, RAM, non-volatile memory, volatile memory, hard disk drive (HDD), solid state drive (SSD), USB memory, flash memory card, and various removable and portable storage devices corresponding thereto. Media (eg, SD (Secure Digital) memory card, microSD memory card, ISO 7816 standard storage device, etc.), but not limited thereto, and may include all types of storage devices for storing data. Memory may be referred to as a storage device.

3 is a diagram schematically illustrating a blockchain network environment 10 to which a virtual asset management device 300 according to an embodiment of the present invention is connected.

Referring to FIG. 3 , in the blockchain network environment 10, the virtual asset management device 300 communicates with at least one of the blockchain 400, the user terminal 500, and the exchange 700 through the network 600. can That is, the virtual asset management device 300 may be communicatively connected to the blockchain 400 through the network 600 .

The virtual asset management device 300 may implement a virtual asset management platform. The virtual asset management device 300 may entrust the user's real assets, issue virtual assets corresponding to the entrusted assets, or store the virtual assets. In one embodiment, virtual assets may be cryptocurrencies or non-fungible tokens (NFTs). Cryptocurrency is a new currency based on blockchain. Cryptocurrency is distributed and stored as data in each of a plurality of nodes constituting the block chain 400. A seller who wants to sell cryptocurrency and a buyer who wants to buy cryptocurrency can trade cryptocurrency through their own electronic wallet.

The blockchain 400 refers to a blockchain-based platform constituting one or more cryptocurrencies handled by the exchange 700, and may include a plurality of nodes. The blockchain 400 interlocks with the electronic wallet included in the virtual asset management device 300, the user terminal 500, and the exchange 700, and conducts transactions according to the purchase, sale, and remittance of the corresponding cryptocurrency. processing, and the processing details can be distributed and stored in blocks. In addition, the blockchain 400 may receive a smart contract from the virtual asset management device 300 and store it in each node.

In addition, a non-fungible token is a unit of data stored in a blockchain, meaning a unique and non-interchangeable token. Non-fungible tokens can be used to represent photos, videos, audios and other types of digital files, virtualizing intangible assets such as copyrighted works to prove their authenticity and enabling transactions through the blockchain.

The virtual asset management device 300 may be entrusted with various types of real assets. Entrusted assets entrusted to the virtual asset management device 300 from the user may be classified into a plurality of types. In one embodiment, entrusted assets entrusted by the user to the virtual asset management device 300 are classified into a first type including real estate, bonds, currency, and the like, and a second type including intangible intellectual property such as copyrighted works and patents. can

When the entrusted asset entrusted by the virtual asset management device 300 is the second type, the virtual asset management device 300 may request value evaluation information on the entrusted asset from an external institution. The virtual asset management device 300 may receive value evaluation information on entrusted assets from an external institution and create a smart contract based on the value evaluation information.

The virtual asset management device 300 may interwork with the exchange 700 and perform transaction service functions including storage, management, and trading of virtual assets. The virtual asset management device 300 may receive virtual asset value evaluation information at a specific time from the exchange 700 . The exchange 700 may support cryptocurrency of several commercialized platforms. For example, as well-known cryptocurrencies, 'Bitcoin (BTC)', 'Ethereum (ETH)', 'Ripple (XRP)', etc., which are various types of blockchain-based cryptocurrencies, can be supported. The exchange 700 may evaluate or store the value of virtual assets listed on the exchange 700 every hour. In this specification, a reference asset is one of several cryptocurrencies supported by the exchange 700, and means an asset that has an exchange value with other cryptocurrencies and serves as a key currency in cryptocurrency transactions. For example, Bitcoin (BTC) may correspond to the reference asset.

The user terminal 500 may be a terminal device used by users who want to buy or sell virtual assets or transfer cryptocurrency in the blockchain network environment 10 . The user terminal 500 includes not only a desktop computer, but also a notebook computer, a workstation, a palmtop computer, an ultra mobile personal computer (UMPC), a tablet PC, a personal digital assistant (PDA), a web pad, and a smartphone. , It may be made of a terminal device equipped with a memory means and equipped with a microprocessor and equipped with an arithmetic capability, such as a mobile phone. The user terminal 500 may be the same as the electronic device 101 described with reference to FIG. 1 , or may include all or some of the components of the electronic device 101 .

In the user terminal 500, an application program for interworking with the exchange 700 may be installed and executed, and an electronic wallet capable of using various cryptocurrencies may be installed. One or more electronic wallets for trading cryptocurrency supported by the exchange 700 may be installed in the user terminal 500 .

In addition, a plurality of electronic wallets may be installed in the user terminal 500, and commercialized cryptocurrency purchase, sale, and remittance may be performed through an API (Application Programming Interface) distributed by the exchange 700. Here, remittance is a concept that includes not only cryptocurrency transfer between the user terminal 500 and the exchange 700, but also cryptocurrency transfer between the user terminal 500 and other physically separated user terminals (not shown).

The network 600 may include long-term evolution (LTE), LTE Advance (LTE-A), code division multiple access (CDMA), wideband CDMA (WCDMA), universal mobile telecommunications system (UMTS), wireless broadband (WiBro), or Data may be transmitted and received in any one of several methods including Global System for Mobile Communications (GSM).

The virtual asset management device 300 may include the same hardware module as a common web server or network server in terms of hardware. The virtual asset management device 300 may be implemented in the form of a web server or network server, and implemented as a series of application programs that operate on the web server, including various databases built inside tangible storage devices. It could be. Therefore, the virtual asset management device 300 should be understood as a broad concept that is not limited to any one of the above.

The virtual asset management device 300 may be implemented through a physical server. That is, the virtual asset management device 300 may be implemented as a server including a communication device to transmit or receive data from the user terminal 500 . The virtual asset management device 300 includes a workstation, a data center, an internet data center (IDC), a direct attached storage (DAS) system, a storage area network (SAN) system, and a network attached storage (NAS) system. ) system, a redundant array of inexpensive disks (RAID) system, or a redundant array of independent disks (RAID) system, and an Electronic Document Management (EDMS) system, but the present embodiment is not limited thereto.

FIG. 4 is a block diagram showing the structure of the virtual asset management device 300 of FIG. 3 . 5 is a diagram for explaining the SVM algorithm.

Referring to FIG. 4 , the virtual asset management device 300 includes a user management unit 310, a contract processing unit, a virtual asset issuing unit 330, a virtual asset storage unit 340, an encryption unit 350, an asset value correction unit ( 360) may be included.

The user management unit 310 may store and manage information about the user terminal 500 connected to the virtual asset management platform implemented by the virtual asset management device 300 . The user management unit 310 may proceed with a membership sign-up procedure for the virtual asset management platform, store and manage various types of information of users subscribed as members, and provide various purchase and payment functions related to services. The user management unit 310 may work with a user authentication of a virtual asset management platform service or an authentication system and payment system for purchase and payment related to services.

The user manager 310 may receive user information and contract information from the user terminal 500 . User information may include account information including a login ID and password, and a user's private key used to authenticate access to the blockchain. The contract information may include verification information on the entrusted asset and virtual asset issuance condition information corresponding to the entrusted asset. Verification information on entrusted assets may include data that can prove the assets to be entrusted by the user, for example, information corresponding to certificates of securities such as bonds and stocks, registration certificates such as works and patent rights, etc. . When a user entrusts an asset by registering in the virtual asset management device 300 of the present invention, verification information on the type, amount, and entrustment time of the entrusted asset may be input together. The virtual asset issuance condition information is recorded by determining the type of virtual asset to be issued, the exchange fee, the issuance time, etc. It may contain information corresponding to the document.

In one embodiment, the user management unit 310 may extract and store unique identification information for the user terminal 500 based on user information provided from the user terminal 500 . The unique identification information may be, for example, each client's ID (Identification) or unique IP (Internet Protocol) address.

The user management unit 310 may also perform user authentication in the virtual asset deposit/withdrawal process or perform access authentication to the blockchain 400 . Specifically, the user management unit 310 may request the user terminal 500 requesting withdrawal to input a user private key in response to a request for authentication information from the virtual asset storage unit 340 . Alternatively, the user manager 310 may perform access authentication when the user terminal 500 tries to directly communicate with the blockchain 400 through the virtual asset management device 300 .

The contract processing unit 320 may create a smart contract based on user information and contract information. Smart contracts can implement elements and data processing commands necessary for entrustment of real assets and contracts for issuing virtual assets corresponding to entrusted assets through program codes. The contract processing unit 320 may create a smart contract related to exchange information in the entrusted asset of the user and the virtual asset corresponding thereto, based on user information and contract information provided from the user terminal 500 . The contract processing unit 320 may record the created smart contract in the blockchain 400.

In one embodiment, the contract processing unit 320 may create a smart contract based on the value of the virtual asset evaluated in the exchange 700 at the time of issuing the virtual asset. In addition, the contract processing unit 320 may create a smart contract based on a value obtained by adjusting the value of a virtual asset by a preset threshold value based on the virtual asset issuance condition information.

The virtual asset issuing unit 330 may issue virtual assets based on user information and contract information. In one embodiment, virtual assets may be cryptocurrencies or non-fungible tokens (NFTs). Virtual assets may be listed on the exchange 700 . Virtual assets may have exchange value with real currency or standard assets listed on the exchange 700 . Virtual assets may be issued in response to entrusted assets. The virtual asset issuing unit 330 may record the issued virtual asset in the blockchain 400 .

The virtual asset storage unit 340 may store virtual assets issued by the virtual asset issuing unit 330 . The virtual asset storage unit 340 may include a server wallet and a plurality of user wallets. A user wallet may be implemented in the form of an application. The virtual asset storage unit 340 is implemented in a state in which a plurality of user wallets are mounted in an embedded form, or a plurality of user wallets are embedded in an OS (Operating System) mounted in the virtual asset storage unit 340. It may be implemented in a mounted state.

Each of the plurality of user wallets may store virtual assets. Each of the plurality of user wallets may classify each virtual asset by type and store it for each sector, or may include identification information and store all types of virtual assets together in one sector. A plurality of user wallets are linked with the blockchain 400, and processing details of purchase, sale, and remittance for the first cryptocurrency, the second cryptocurrency, and the third cryptocurrency are stored in each block of the blockchain 400 ( Block) can be distributed and stored.

The user management unit 310 may manage a user's personal wallet of the virtual asset storage unit 340 . For example, the user management unit 310 may create a new user wallet in the virtual asset storage unit 340, delete a user wallet created in the virtual asset storage unit 340, or maintain/manage a user wallet. there is. In addition, the user management unit 310 may create a user wallet for a new user who wants to use the virtual asset management device 300 after going through a predetermined sign-up procedure.

The encryption unit 350 may encrypt user information and contract information provided from the user management unit 310 . The encryption unit 350 may generate an encryption block by encrypting user information and contract information provided from the user management unit 310 . Alternatively, the encryption unit 350 may generate unique identification information of the user terminal 500 provided from the user management unit 310 and an encryption block. Here, the encryption block means a data packet generated by encrypting information collected through the virtual asset management platform according to an embodiment of the present invention.

In an embodiment, the encryption unit 350 may generate a plurality of first vectors by vectorizing each of the plurality of contract information provided from the first user terminal. In addition, the encryption unit 350 vectorizes a plurality of data packets generated by exclusive ORing the unique identification information of the first user terminal and a plurality of randomly generated keys generated according to the number of contract information, respectively. A plurality of second vectors can be created. The encryption unit 350 may determine a hyperplane function for separating a plurality of first vectors and a plurality of second vectors in virtual space, and generate an encryption block based on the hyperplane function.

That is, the encryption unit 350 may generate an encryption block by using a Support Vector Machine (SVM) algorithm inversely. The SVM algorithm means a process of determining a hyperplane function (linear decision function) for separating two different classes and separating the classes by using the hyperplane function. The hyperplane may correspond to a central portion of a maximum value between two class data on the input data. That is, the SVM algorithm may build a hyperplane model maximizing a margin between each class of data in a multidimensional space.

Referring to FIG. 5 , the SVM algorithm may build a hyperplane model B1 separating the classes of the first vector v_1 and the second vector v_2. As shown in FIG. 5, it can be seen that B1 has a larger margin between each class data than B2. Accordingly, the SVM algorithm can build B1, which maximizes the margin between each class data, as a hyperplane model.

In one embodiment, the encryption unit 350 may build a hyperplane model using [Equation 3] above. In [Equation 1], d(x) may mean a hyperplane, x may mean an output vector input to a vector space, w may mean a parameter, and b may mean a bias value.

According to the SVM algorithm, the encryption unit 350 may calculate the parameter w of the hyperplane by differentiating [Equation 1]. Here, the parameter w corresponds to the normal vector of the hyperplane d(x).

The encryption unit 350 may use various kernel functions to process the nonlinear separation problem using the SVM algorithm. For example, the encryption unit 350 may process a nonlinear separation problem using an SVM algorithm using a polynomial function, a sigmoid function, a gaussian function, etc. that satisfy Mercer's theory.

The encryption unit 350 may set a nonlinear hyperplane calculation equation of the linear hyperplane implemented using [Equation 2] as shown in [Equation 2]. In [Equation 2], K is a kernel function, W is a parameter, α is a dependent variable for W, x_i, y_i are the first input data vector and the second input data vector input to the vector space, σ is the bandwidth parameter can mean

The encryption unit 350 may implement a nonlinear hyperplane calculation equation using [Equation 2], and set an encryption key of an encryption block based on the calculated parameter W. The generated encryption key may be used for user private key authentication when a user private key is input from the user terminal 500 .

In the asset value correction unit 360 , the value of virtual assets stored in the virtual asset storage unit 340 evaluated by the exchange 700 may change every time. The asset value correction unit 360 may receive the value of a virtual asset at a specific time from the exchange 700 . The asset value correction unit 360 may correct the value of the virtual asset to mitigate the fluctuation range of the value of the virtual asset over time. The asset value correction unit 360 may generate a correction index by correcting the value of virtual assets. The correction factor may be a function of time. In one embodiment, if the virtual asset is a virtual asset classified as the second type, the asset value correction unit 360 may generate a correction index of the virtual asset based on the value evaluation information of the virtual asset.

The asset value correction unit 360 may correct the value of a virtual asset evaluated in the exchange 700 at a specific time by using a value change amount correction model. To this end, the value variance correction model may include an input layer, one or more hidden layers, and an output layer. The value variation correction model may be trained in advance to accurately correct the value of virtual assets through a learning process. To this end, in the learning process, value evaluation information and a plurality of learning data about the value of the virtual asset may be input to an input layer of a value variation correction model, pass through one or more hidden layers and an output layer, and an output vector may be output. The output vector may be input to a loss function layer connected to the output layer. The loss function layer may output a loss value using a loss function that compares an output vector with a correct answer vector for each training data. Parameters of the value variation correction model may be learned in a direction in which a loss value becomes smaller.

For example, the loss function can calculate a loss value according to [Equation 3]. In [Equation 3], N is the number of a plurality of training data, n is a natural number identifying the learning data, k is a natural number identifying the value of the nth learning data, nk is the kth value of the nth learning data , t may mean correct answer data, y may mean an output vector, and E may mean a loss value.

Alternatively, the loss function may calculate a loss value according to [Equation 4]. In [Equation 4], n is the number of learning data for each class, y and j are identifiers representing classes, C is a constant value, M is the number of classes, x_y is the probability that the training data belongs to class y, x_j is learning A probability value, L, that data belongs to class j may mean a loss value.

To this end, the asset value correction unit 360 may include an artificial intelligence machine learning model. When the virtual asset management device 300 is implemented as hardware, the asset value corrector 360 may include a hardware structure specialized for processing a machine learning model. Machine learning models can be created through artificial intelligence machine learning.

The machine learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning or reinforcement learning, but the foregoing example not limited to The artificial intelligence model may include a plurality of artificial neural network layers. Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the foregoing, but is not limited to the foregoing examples. The artificial intelligence model may include, in addition or alternatively, software structures in addition to hardware structures.

Each component included in the virtual asset management device 300 is connected to a communication path connecting software modules or hardware modules inside the device, and may operate organically with each other. That is, each component of the virtual asset management device 300 means a unit that processes at least one function or operation, and may be implemented as a software module, a hardware module, or a combination of software and hardware.

The configuration of the virtual asset management device 300 shown in FIG. 4 is not necessarily essential, and some configurations may be omitted or other configurations not shown in FIG. 4 may be added as needed. That is, the configuration shown in FIG. 4 is for convenience of explanation, but embodiments are not limited thereto. Those skilled in the art will be able to modify and practice the embodiments of the present invention without departing from the scope of the present invention.

6 is a flowchart for explaining the operation of the virtual asset management device according to an embodiment of the present invention.

Referring to FIG. 6, in S610, the user management unit 310 provides account information including a login ID and password from the user terminal 500, user information including a user private key used for authentication of access to the blockchain, and Contract information including verification information on entrusted assets and virtual asset issuance condition information corresponding to entrusted assets may be provided.

In S620, the contract processing unit 320 may create a first smart contract based on user information and contract information and record it in the blockchain 400. The first smart contract may implement elements and data processing commands necessary for a contract for entrusting real assets and issuing virtual assets corresponding to entrusted assets through program codes. The first smart contract may be created based on user information and contract information provided from the user terminal 500, and may include exchange information in the entrusted asset of the user and the corresponding virtual asset. The contract processing unit 320 may record the first smart contract in the blockchain 400 .

In S630, the virtual asset issuing unit 330 is listed on the exchange 700 and issues a virtual asset corresponding to the entrusted asset with a real currency or a reference asset listed on the exchange and an exchange value, and blocks the issued virtual asset. Can be written to the chain (400). In one embodiment, the virtual asset issued by the virtual asset issuing unit 330 may be a cryptocurrency or a non-fungible token (NFT).

In one embodiment, when the entrusted asset entrusted from the user terminal 500 is of the second type, the virtual asset issued by the virtual asset issuing unit 330 corresponding to the entrusted asset may be a non-fungible token. The virtual asset issuing unit 330 may generate a non-fungible token based on the value evaluation information on the entrusted asset.

In S640, the contract processing unit 320 issues P(1), which is the value of the virtual asset evaluated in the exchange 700, and P(1) at the first time t1, which is the time point of issuing the virtual asset. A second smart contract in which the disposition condition of the virtual asset based on P(2), which is a value adjusted by a threshold value set based on the condition information, is recorded as a program code can be created and recorded in the blockchain 400.

As described above, the virtual asset management apparatus and method according to the embodiments of the present invention record and store issued virtual assets in a blockchain, create details of issued virtual assets as a smart contract, record them in a blockchain, and Save, create a smart contract that includes the transaction execution conditions of the issued virtual asset, record it in the blockchain, and save it. Through this, it is possible to safely manage virtual assets created (issued) in response to the user's real assets.

7 is a graph showing the change in the value of virtual assets over time in the exchange 700. 8 is a flowchart illustrating an operation of a virtual asset management device according to another embodiment of the present invention. 9 is a graph for explaining a volatility index.

First, referring to FIG. 8 , in S810, the user management unit 310 provides account information including a login ID and password from the user terminal 500, and user information including a user private key used for authentication of access to the blockchain. , and contract information including verification information on entrusted assets and virtual asset issuance condition information corresponding to entrusted assets may be provided.

In S820, the contract processing unit 320 may create a first smart contract based on user information and contract information and record it in the blockchain 400. The first smart contract may be created based on user information and contract information provided from the user terminal 500, and may include exchange information in the entrusted asset of the user and the corresponding virtual asset.

In S830, the virtual asset issuing unit 330 is listed on the exchange 700 and issues a virtual asset corresponding to the entrusted asset with a real currency or a reference asset listed on the exchange and an exchange value, and blocks the issued virtual asset. Can be written to the chain (400).

In S840 , the contract processing unit 320 may receive the virtual asset evaluation value P(1) of the first time point t1 from the exchange 700 .

In S850, the contract processing unit 320 adjusts P(1) based on the virtual asset issuance condition information, determines P(2) having a different value from P(1), and determines P(2) based on P(2). A second smart contract can be created and recorded in the blockchain 400.

In one embodiment, executing the second smart contract by the contract processing unit 320 may include executing a command to dispose of some shares of virtual assets. For example, in the second smart contract, when the evaluated value of the virtual asset in the exchange 700 becomes P(2), a command to sell some shares of the virtual asset at a preset price may be implemented as a program code.

The exchange 700 may evaluate and store the value of virtual assets in real time. At the second time t2 when the evaluated value of the virtual asset in the exchange 700 becomes P(2), the contract processing unit 320 may perform an error checking step before executing the second smart contract.

Referring further to FIG. 7 , the value over time of a virtual asset may fluctuate in real time. In this case, the value of the virtual asset over time may rapidly fluctuate in a short time period, such as the second point in time t2. A sudden change in the evaluation value may cause unintended execution of the transaction command program code stored in the second smart contract.

The contract processing unit 320 determines the first time interval based on the second time t2. The first time interval L1 starts at the third time t3 preceding the second time t2 and ends at the fourth time t4 following the second time t2. The time interval between the second time point t2 and the third time point t3 may be the same as the time interval between the second time point t2 and the fourth time point t4.

In S860, the contract processing unit 320 may calculate the average virtual asset value P(3) in the first time interval L1.

In one embodiment, the contract processing unit 320 may calculate P(3) using [Equation 5]. In the above equation, t3 may mean the start time of the first time interval, t4 may mean the end time of the first time interval, and L1(t) may mean the size of the first time interval.

In S870, the contract processing unit 320 may execute the second smart contract only when P(3) satisfies [Equation 6]. That is, the contract processing unit 320 may control not to execute the second smart contract when P(3) does not satisfy [Equation 6]. In other words, the second smart contract may include a program code that implements [Equation 6] as an execution condition of the smart contract as a virtual asset disposal (transaction) condition. In [Equation 6], V may mean a volatility index, and L(t) may mean the size of the first time interval.

In S880, when P(3) satisfies [Equation 6], the contract processing unit 320 executes the second smart contract.

Here, the volatility index may be calculated based on differences in virtual asset evaluation values obtained from the exchange 700 at each of a plurality of reference times, and between two adjacent reference times. Further referring to FIG. 9 , time intervals between a plurality of reference times st1 to st9 may be the same. The number of the plurality of reference times st1 to st9 may be variable. The contract processing unit 320 may set the appropriate number of reference times to calculate the volatility index.

In one embodiment, the volatility index may be calibrated based on the volatility of other virtual assets (eg, cryptocurrency) listed on the exchange 700 . In one embodiment, the volatility index may be calibrated based on the volatility of a reference asset listed on the exchange 700 .

As described above, the virtual asset management apparatus and method according to the embodiments of the present invention record and store issued virtual assets in a blockchain, create details of issued virtual assets as a smart contract, record them in a blockchain, and Save, create a smart contract that includes the transaction execution conditions of the issued virtual asset, record it in the blockchain, and save it. Through this, it is possible to safely manage virtual assets created (issued) in response to the user's real assets. In addition, virtual assets can be safely managed by providing smart contracts that include program codes that automatically execute transactions when the value of issued virtual assets fluctuates.

10 is a block diagram illustrating a server related to a virtual asset management device according to an embodiment of the present invention. One embodiment of FIG. 10 may be combined with various embodiments of the present disclosure.

As shown in FIG. 10 , a server 1000 (hereinafter referred to as a server) associated with a virtual asset management device may include a processor 1010, a communication unit 1020, and a memory 1030. However, not all components shown in FIG. 10 are essential components of the server 1000 . The server 1000 may be implemented with more components than those shown in FIG. 10 , or the server 1000 may be implemented with fewer components than those shown in FIG. 10 . For example, the server 1000 according to some embodiments may further include a user input interface (not shown) and an output unit (not shown) in addition to the processor 1010, the communication unit 1020, and the memory 1030. .

The processor 1010 typically controls the overall operation of the server 1000. The processor 1010 may include one or more processors to control other elements included in the server 1000 . For example, the processor 1010 may generally control the communication unit 1020 and the memory 1030 by executing programs stored in the memory 1030 . Also, the processor 1010 may perform the functions of the server 1000 related to the virtual asset management apparatus described in FIGS. 3 to 8 by executing programs stored in the memory 1030 .

The communication unit 1020 may include one or more components that allow the server 1000 to communicate with other devices (not shown) and servers (not shown). The other device (not shown) may be a computing device such as the server 1000 or a sensing device, but is not limited thereto. The communication unit 1020 may receive a user input from another electronic device or data stored in an external device from an external device through a network.

For example, the communication unit 1020 may transmit/receive a message for establishing a connection with at least one device. The communication unit 1020 may transmit information generated by the processor 1010 to at least one device connected to the server 1000 . The communication unit 1020 may receive information from at least one device connected to the server 1000 . The communication unit 1020 may transmit related operation information to the at least one device in response to the information received from the at least one device.

The memory 1030 may store programs for processing and control of the processor 1010 . For example, the memory 1030 may store information input by a user or information received from another device through a network. Also, the memory 1030 may store data acquired by the processor 1010 .

The memory 1030 is a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg SD or XD memory, etc.), RAM (RAM, Random Access Memory) SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), magnetic memory, magnetic disk , an optical disk, and at least one type of storage medium.

The embodiments described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, the devices, methods and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA). array), programmable logic units (PLUs), microprocessors, or any other device capable of executing and responding to instructions. A processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. The device can be commanded. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (10)

In a blockchain-based virtual asset management device that is connected to a block chain including a plurality of nodes and connects a new block to each of the plurality of nodes or records a smart contract,
Account information including login ID and password from the user terminal, user information including the user's private key used for authentication of access to the blockchain, and verification information on entrusted assets and virtual asset issuance conditions corresponding to the entrusted assets a user management unit receiving contract information including information;
a contract processor generating and recording a first smart contract on the blockchain based on the user information and the contract information; and
A virtual asset issuing unit that is listed on an exchange and has a real currency or a reference asset listed on the exchange and an exchange value, and issues the virtual asset corresponding to the entrusted asset and records it in the blockchain,
The contract processing department,
Adjusting P(1), the value of the virtual asset evaluated at the exchange at the first time, which is the time of issuing the virtual asset, and the P(1) by a threshold value set based on the virtual asset issuance condition information A second smart contract in which the disposition condition of the virtual asset based on the value P(2) is recorded in program code is created and recorded in the blockchain;
P(2) is the value of the virtual asset evaluated at the exchange at a second time following the first time,
In the second smart contract, an execution condition is set based on P(3), which is the average value of the virtual asset evaluated at the exchange, in the first time period including the second time,
The entrusted assets are classified into a plurality of types including a first type including at least one of real estate, bonds, and currency, and a second type including intangible intellectual property,
The contract processing department,
Receive valuation information for the entrusted asset classified as the second type from an external institution, and create the first smart contract based on the valuation information;
[Equation 1]

The P(3) is determined by [Equation 1], and in [Equation 1], t3 is the start time of the first time interval, t4 is the end time of the first time interval, L (t ) means the size of the first time interval,
[Equation 2]

The second smart contract is executed only when P(3) satisfies the condition of [Equation 2], and in [Equation 2], V is the volatility index and L(t) is the first the size of the time interval,
Virtual asset management device. delete delete According to claim 1,
Characterized in that the virtual asset is a cryptocurrency or a non-fungible token (NFT),
Virtual asset management device. According to claim 4,
Asset value correction unit; further comprising,
The asset value correction unit corrects the value of the virtual asset evaluated at the exchange at a specific time using a value change amount correction model;
The value variance correction model includes an input layer, one or more hidden layers, and an output layer;
The valuation information and the plurality of learning data about the value of the virtual asset are input to the input layer of the value variation correction model and pass through the one or more hidden layers and the output layer to output an output vector, wherein the output vector is The input is input to a loss function layer connected to the output layer, and the loss function layer outputs a loss value using a loss function that compares the output vector with the correct answer vector for each learning data, and the parameter of the value variation correction model is learned in the direction in which the loss value becomes smaller,
Virtual asset management device. According to claim 1,
An encryption unit for encrypting and decrypting and processing the user information and the contract information; further comprising,
Virtual asset management device. A virtual asset management method performed by a blockchain-based virtual asset management device,
Corresponds to account information including a login ID and password from a user terminal, user information including a user private key used for authentication of access to the blockchain, and verification information for entrusted assets and entrusted assets by the user management unit receive contract information including virtual asset issuance condition information,
By the contract processing unit, a first smart contract is created based on the user information and the contract information and recorded in the blockchain,
By the virtual asset issuing unit, issuing the virtual asset corresponding to the entrusted asset with a real currency listed on an exchange and having an exchange value with a reference asset listed on the exchange and recording it in the blockchain;
The contract processor calculates P(1), which is the value of the virtual asset evaluated at the exchange at the first point of time when the virtual asset is issued, and the P(1) based on the issuance condition information of the virtual asset. Generating and recording a second smart contract in which the disposition condition of the virtual asset based on P(2), which is a value adjusted by a set threshold value, is recorded in program code and recorded in the blockchain;
P(2) is the value of the virtual asset evaluated at the exchange at a second time following the first time,
In the second smart contract, an execution condition is set based on P(3), which is the average value of the virtual asset evaluated at the exchange, in the first time period including the second time,
The entrusted assets are classified into a plurality of types including a first type including at least one of real estate, bonds, and currency, and a second type including intangible intellectual property,
Further comprising receiving, by the contract processing unit, value evaluation information on the entrusted asset classified as the second type from an external institution, and generating the first smart contract based on the value evaluation information;
[Equation 1]

The P(3) is determined by [Equation 1], and in [Equation 1], t3 is the start time of the first time interval, t4 is the end time of the first time interval, L (t ) means the size of the first time interval,
[Equation 2]

The second smart contract is executed only when P(3) satisfies the condition of [Equation 2], and in [Equation 2], V is the volatility index and L(t) is the first the size of the time interval,
How to manage virtual assets. According to claim 7,
Characterized in that the virtual asset is a cryptocurrency or a non-fungible token (NFT),
How to manage virtual assets. A computer program stored in a computer readable recording medium in order to execute the method of claim 7 in combination with hardware. A computer readable recording medium storing a computer program combined with hardware to execute the method of claim 7.

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