CN116996309A - Semantic communication method and system based on blockchain, storage medium and equipment - Google Patents

Semantic communication method and system based on blockchain, storage medium and equipment Download PDF

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Publication number
CN116996309A
CN116996309A CN202311030049.7A CN202311030049A CN116996309A CN 116996309 A CN116996309 A CN 116996309A CN 202311030049 A CN202311030049 A CN 202311030049A CN 116996309 A CN116996309 A CN 116996309A
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data
semantic
converted
semantic data
blockchain
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刘小欧
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China Telecom Technology Innovation Center
China Telecom Corp Ltd
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China Telecom Technology Innovation Center
China Telecom Corp Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/083—Network architectures or network communication protocols for network security for authentication of entities using passwords
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/06—Network architectures or network communication protocols for network security for supporting key management in a packet data network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3218—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using proof of knowledge, e.g. Fiat-Shamir, GQ, Schnorr, ornon-interactive zero-knowledge proofs
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/50—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using hash chains, e.g. blockchains or hash trees
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Hardware Design (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer And Data Communications (AREA)

Abstract

The disclosure relates to a semantic communication method and system based on a blockchain, a storage medium and equipment, and relates to the technical field of communication, wherein the method comprises the following steps: the edge equipment performs fuzzy processing on the original semantic data based on a preset circuit compiler to obtain data conversion evidence of the original semantic data and converted semantic data, and calculates a common reference character string based on the circuit compiler; the edge device determines a zero knowledge verification result according to the evaluation authorization key in the reference character string, and uploads the zero knowledge verification result, the verification key in the reference character string and the converted semantic data to the blockchain; the blockchain proves the authenticity of the conversion process of the converted semantic data according to the zero knowledge verification result and the verification key to obtain a data verification result; the virtual service provider determines the data authenticity of the converted semantic data according to the data verification result. The method and the device can effectively defend malicious attacks in the semantic communication transmission process.

Description

Semantic communication method and system based on blockchain, storage medium and equipment
Technical Field
The embodiment of the disclosure relates to the technical field of communication, in particular to a semantic communication method based on a blockchain, a semantic communication system based on the blockchain, a computer readable storage medium and electronic equipment.
Background
In the existing semantic communication method, the authenticity of the semantic data sent by the edge device cannot be verified by the virtual server, so that the authenticity of the data received by the virtual server is lower.
It should be noted that the information of the present invention in the above background section is only for enhancing understanding of the background of the present disclosure, and thus may include information that does not form the prior art that is already known to those of ordinary skill in the art.
Disclosure of Invention
An object of the present disclosure is to provide a semantic communication method based on a blockchain, a semantic communication system based on a blockchain, a computer-readable storage medium, and an electronic device, so as to overcome, at least to some extent, the problem that the authenticity of data received by a virtual facilitator is low due to limitations and drawbacks of the related art.
According to one aspect of the present disclosure, there is provided a blockchain-based semantic communication method, including:
the edge equipment performs fuzzy processing on original semantic data based on a preset circuit compiler to obtain data conversion evidence of the original semantic data and converted semantic data, and calculates a common reference character string based on the circuit compiler;
The edge equipment determines a zero knowledge verification result according to the evaluation authorization key in the reference character string, and uploads the zero knowledge verification result, the verification key in the reference character string and the converted semantic data to a blockchain;
the blockchain proves the authenticity of the conversion process of the converted semantic data according to the zero knowledge verification result and the verification key to obtain a data verification result;
and the virtual service provider determines the data authenticity of the converted semantic data according to the data verification result.
In an exemplary embodiment of the present disclosure, performing fuzzy processing on original semantic data based on a preset circuit compiler to obtain data conversion proof of the original semantic data and converted semantic data, including:
acquiring original image data, and cutting the original image data to obtain original semantic data in the original image data;
and carrying out bilinear interpolation processing on the original semantic data based on a preset circuit compiler to obtain converted semantic data, and calculating the relation between the original semantic data and the converted semantic data based on the circuit compiler to obtain the data conversion evidence.
In an exemplary embodiment of the present disclosure, cropping the original image data to obtain original semantic data in the original image data includes:
cutting key components in the original image data based on a preset semantic segmentation model, and obtaining the original semantic data in the original image data according to the cut key components.
In one exemplary embodiment of the present disclosure, calculating a common reference string based on the circuit compiler includes:
acquiring preset safety parameters, and inputting the preset safety parameters and the circuit compiler into a key generation model to obtain the public reference character string; wherein the reference string includes an evaluation authorization key and a verification key.
In one exemplary embodiment of the present disclosure, determining a zero knowledge verification result from an evaluation authorization key in the reference string includes:
and inputting the evaluation authorization key, the data conversion evidence and the converted semantic data in the reference character string into a data demonstration model to obtain a zero knowledge verification result.
In an exemplary embodiment of the present disclosure, verifying the authenticity of the conversion process of the converted semantic data according to a zero knowledge verification result and a verification key, to obtain a data verification result, including:
Inputting the zero knowledge verification result and the verification key into a data verification model, and proving the authenticity of the conversion process of the converted semantic data according to the output result of the data verification model to obtain a data verification result;
if the output result of the data verification model is 1, the data verification result is that the authenticity verification of the conversion process of the converted semantic data is successful; and if the output result of the data verification model is 0, the data verification result is that the authenticity verification of the conversion process of the converted semantic data fails.
In an exemplary embodiment of the present disclosure, determining the data authenticity of the converted semantic data according to the data verification result includes:
if the data verification result is that the authenticity verification of the conversion process of the converted semantic data is successful, determining that the data authenticity of the converted semantic data is true;
and if the data verification result is that the authenticity verification of the conversion process of the converted semantic data fails, determining that the data authenticity of the converted semantic data is false.
In an exemplary embodiment of the present disclosure, the blockchain-based semantic communication method further includes:
when the data authenticity of the converted semantic data is determined to be true, the virtual service provider acquires the converted semantic data and data conversion evidence provided by the edge equipment from the blockchain, and obtains original semantic data according to the converted semantic data and the data conversion evidence;
and when the data authenticity of the converted semantic data is determined to be false, rejecting the converted semantic data and the data conversion certification provided by the edge equipment by the virtual service provider.
In an exemplary embodiment of the present disclosure, the blockchain-based semantic communication method further includes:
and the virtual service provider digitizes the original semantic data based on a preset metauniverse virtual space to obtain a virtual environment scene corresponding to the original image data acquired by the edge equipment.
In an exemplary embodiment of the present disclosure, the digitizing the original semantic data based on a preset metauniverse virtual space to obtain a virtual environment scene corresponding to the original image data collected by the edge device, includes:
Invoking artificial intelligence in the preset meta-universe virtual space to generate a content model;
and extracting landmark semantic data included in the original semantic data based on the artificial intelligence generation content model, and rendering the virtual environment scene according to the landmark semantic data.
According to one aspect of the present disclosure, there is provided a blockchain-based semantic communication system, comprising:
the edge equipment is used for carrying out fuzzy processing on the original semantic data based on a preset circuit compiler to obtain data conversion evidence of the original semantic data and converted semantic data, and calculating a common reference character string based on the circuit compiler;
the edge device is further configured to determine a zero knowledge verification result according to the evaluation authorization key in the reference character string, and upload the zero knowledge verification result, the verification key in the reference character string, and the converted semantic data to a blockchain;
the block chain is in communication connection with the edge equipment and is used for proving the authenticity of the conversion process of the converted semantic data according to the zero knowledge verification result and the verification key to obtain a data verification result;
And the virtual service provider is in communication connection with the blockchain and is used for determining the data authenticity of the converted semantic data according to the data verification result.
According to one aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the blockchain-based semantic communication method of any of the above.
According to one aspect of the present disclosure, there is provided an electronic device including:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform any of the above blockchain-based semantic communication methods via execution of the executable instructions.
According to the semantic communication method based on the blockchain, on one hand, the edge equipment performs fuzzy processing on original semantic data based on a preset circuit compiler to obtain data conversion evidence of the original semantic data and converted semantic data, and calculates a reference character string based on the circuit compiler; determining a zero knowledge verification result by the edge device according to the evaluation authorization key in the reference character string, and uploading the zero knowledge verification result, the verification key in the reference character string and the converted semantic data to the blockchain; the authenticity of the conversion process of the converted semantic data is proved through the blockchain according to the zero knowledge verification result and the verification key, and a data verification result is obtained; finally, determining the data authenticity of the converted semantic data according to the data verification result by the virtual service provider, wherein the data authenticity of the converted semantic data can be determined based on the data verification result, so that the problem that the authenticity of the semantic data sent by the edge equipment cannot be verified by the virtual service provider in the prior art, and the authenticity of the data received by the virtual service provider is lower is solved, and the authenticity of the converted semantic data received by the virtual service provider is improved; on the other hand, the authenticity of the conversion process of the converted semantic data can be proved through the blockchain according to the zero knowledge verification result and the verification key, so that a data verification result is obtained; and finally, determining the data authenticity of the converted semantic data according to the data verification result by the virtual service provider, so that malicious attacks in the semantic communication transmission process can be effectively defended.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
FIG. 1 schematically illustrates a flow chart of a blockchain-based semantic communication method according to an example embodiment of the present disclosure.
Fig. 2 schematically illustrates an example diagram of a blockchain-based semantic communication system in accordance with example embodiments of the present disclosure.
Fig. 3 schematically illustrates an example diagram of an application scenario of a blockchain-based semantic communication method according to an example embodiment of the present disclosure.
Fig. 4 schematically illustrates a structural example diagram of a convolutional neural network according to an example embodiment of the present disclosure.
Fig. 5 schematically illustrates a structural example diagram of a preset semantic segmentation model according to an exemplary embodiment of the present disclosure.
Fig. 6 schematically illustrates a flow chart of a semantic communication method based on multi-sided interactions according to an example embodiment of the present disclosure.
Fig. 7 schematically illustrates a block diagram of a blockchain-based semantic communication device according to an example embodiment of the present disclosure.
Fig. 8 schematically illustrates an electronic device for implementing the above-described blockchain-based semantic communication method according to an example embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
To build a digital mirror space of a physical world that is sufficiently realistic in the meta-universe, a mass of dispersed edge devices are required to transmit large amounts of data to virtual service providers to facilitate interactions between virtual and reality.
Semantic communication is a technology for representing information and transmitting by semantics, which solves the meaning expression and transmission of information at the semantic level, and pre-arranges part or all of the understanding links of the meaning of the information to a transmitting end, and extracts semantic data from original data and expresses expected meaning. By the source side compression mode, the purposes of reducing information redundancy, reducing transmission quantity and reducing bandwidth requirements can be achieved; meanwhile, by the source side compression mode, the provider of the metauniverse virtual service can directly collect semantic information from the edge equipment, and generation of AIGC (Artificial Intelligence Generated Content, artificial intelligence generation content), construction of a virtual world and the like are accelerated. However, the use of semantic communications presents a security problem because an attacker may send malicious semantic data with similar semantic information but different desired content, resulting in erroneous output of the AIGC to destroy the user in the meta-universe service.
Based on this, the exemplary embodiments of the present disclosure first provide a semantic communication method based on blockchain. Specifically, referring to fig. 1, the semantic communication method based on blockchain may include the following steps:
s110, blurring processing is carried out on original semantic data by edge equipment based on a preset circuit compiler, data conversion evidence of the original semantic data and converted semantic data are obtained, and a common reference character string is calculated based on the circuit compiler;
s120, the edge device determines a zero knowledge verification result according to the evaluation authorization key in the reference character string, and uploads the zero knowledge verification result, the verification key in the reference character string and the converted semantic data to a blockchain;
s130, the blockchain proves the authenticity of the conversion process of the converted semantic data according to a zero knowledge verification result and a verification key to obtain a data verification result;
and S140, the virtual service provider determines the data authenticity of the converted semantic data according to the data verification result.
In the semantic communication method based on the blockchain, on one hand, the edge equipment performs fuzzy processing on the original semantic data based on a preset circuit compiler to obtain data conversion evidence of the original semantic data and the converted semantic data, and calculates a reference character string based on the circuit compiler; determining a zero knowledge verification result by the edge device according to the evaluation authorization key in the reference character string, and uploading the zero knowledge verification result, the verification key in the reference character string and the converted semantic data to the blockchain; the authenticity of the conversion process of the converted semantic data is proved through the blockchain according to the zero knowledge verification result and the verification key, and a data verification result is obtained; finally, determining the data authenticity of the converted semantic data according to the data verification result by the virtual service provider, wherein the data authenticity of the converted semantic data can be determined based on the data verification result, so that the problem that the authenticity of the semantic data sent by the edge equipment cannot be verified by the virtual service provider in the prior art, and the authenticity of the data received by the virtual service provider is lower is solved, and the authenticity of the converted semantic data received by the virtual service provider is improved; on the other hand, the authenticity of the conversion process of the converted semantic data can be proved through the blockchain according to the zero knowledge verification result and the verification key, so that a data verification result is obtained; and finally, determining the data authenticity of the converted semantic data according to the data verification result by the virtual service provider, so that malicious attacks in the semantic communication transmission process can be effectively defended.
The blockchain-based semantic communication method described in the exemplary embodiments of the present disclosure will be explained and described in detail below with reference to the accompanying drawings.
First, a technical implementation principle of the exemplary embodiments of the present disclosure is explained and explained. Specifically, the semantic communication method based on the blockchain described in the exemplary embodiment of the disclosure designs a semantic defense scheme based on the blockchain and zero knowledge proof, can record the conversion of semantic data by using the zero knowledge proof, and uses the blockchain to track and verify the mutation of the semantic data; meanwhile, the semantic communication assisted by the blockchain can establish trust between the distributed unknown edge device and the VSP; however, considering that an attacker may tamper with the data before it is uploaded, keeping it semantically similar (almost identical descriptors), but with a different intended meaning; for example, a malicious edge device might modify a "sunflower" picture pixel to be semantically similar to a "snow mountain" picture, but visually significantly different, which would greatly affect the output of the AIGC model in virtual space, and it is difficult for VSP to detect the difference between the antagonistic semantic data and the real semantic data; therefore, in order to solve the problems, a semantic defense scheme based on blockchain and zero knowledge proof is designed, so that the zero knowledge proof can be used for recording the conversion of semantic data, and the blockchain is used for tracking and verifying the mutation of the semantic data; meanwhile, by utilizing a block chain and a semantic defense scheme based on zero knowledge proof, VSP can be further helped to identify whether an image transmitted in the meta universe is maliciously tampered by an attacker; in the practical application process, the edge device can also adopt bilinear interpolation algorithm to convert or process the semantic data, and record and verify the conversion of the data by using zero knowledge proof instead of directly submitting the extracted semantic data to the VSP, thereby achieving the purposes of improving the authenticity and the safety of the semantic data obtained by the VSP and ensuring that the semantic data received by the VSP is not malicious data sent by malicious edge devices.
Next, explanation and explanation are made of a blockchain-based semantic communication system according to an exemplary embodiment of the present disclosure.
In particular, referring to FIG. 2, the blockchain-based semantic communication system may include an edge device 210, a blockchain 220, and a virtual service provider 230; the edge device can be in communication connection with the blockchain and the virtual service provider in a wired or wireless communication mode, and the blockchain can also be in communication connection with the virtual service provider in a wired or wireless communication mode. In the actual application process, the edge device described herein may be used to perform fuzzy processing on the original semantic data based on a preset circuit compiler to obtain a data conversion proof of the original semantic data and converted semantic data, and calculate a common reference character string based on the circuit compiler; of course, the edge device may also be configured to determine a zero knowledge verification result according to the evaluation authorization key in the reference string, and upload the zero knowledge verification result, the verification key in the reference string, and the converted semantic data to a blockchain; the blockchain described herein may be used to prove the authenticity of the conversion process of the converted semantic data according to the zero knowledge verification result and the verification key, to obtain a data verification result; further, the virtual service provider described herein may be configured to determine data authenticity of the converted semantic data based on the data verification result.
In one example embodiment, the edge devices described herein may include User Equipment (UE), wireless Terminal devices, mobile Terminal devices, device-to-Device (D2D) Terminal devices, vehicle-to-Device (V2X) Terminal devices, machine-to-Machine/Machine-Type Communications, M2M/MTC) Terminal devices, internet of things (Internet of Things, ioT) Terminal devices, subscriber units (Subscriber units), subscriber stations (Subscriber Station), mobile stations (Mobile stations), remote stations (Access points, APs), remote terminals (Remote terminals), access terminals (Access terminals), user terminals (User agents), user agents (User agents), or User Equipment (User devices), and the like. On the other hand, the edge device may also include a mobile phone (or "cellular" phone), a computer with a mobile terminal device, a portable, pocket, hand-held, a mobile device built into the computer, etc. For example, personal communication services (Personal Communication Service, PCS) phones, cordless phones, session initiation protocol (Session Initiation Protocol, SIP) phones, wireless local loop (Wireless Local Loop, WLL) stations, personal digital assistants (Personal Digital Assistant, PDAs), and the like; in yet another aspect, the edge device may also include a limited device, such as a device with lower power consumption, or a device with limited memory or computing capabilities, or the like. Information sensing devices including, for example, bar codes, radio frequency identification (Radio Frequency Identification, RFID), sensors, global positioning system (Global Positioning System, GPS), laser scanners, etc.; further, by way of example and not limitation, the edge device may also include a wearable device. The wearable device can also be called as a wearable intelligent device or an intelligent wearable device, and is a generic name for realizing daily wearing by using wearable technology and developing wearable devices, such as glasses, gloves, watches, clothes, shoes, and the like. The wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The wearable device is not only a hardware device, but also can realize a powerful function through software support, data interaction and cloud interaction. The generalized wearable intelligent device includes full functionality, large size, and may not rely on the smart phone to implement complete or partial functionality, such as: smart watches or smart glasses, etc., and focus on only certain types of application functions, and need to be used in combination with other devices, such as smart phones, for example, various smart bracelets, smart helmets, smart jewelry, etc. for physical sign monitoring. While the various terminals described above, if located On a vehicle (e.g., placed in or mounted in the vehicle), may be considered as in-vehicle terminal devices, such as also known as in-vehicle units (OBUs).
In one example embodiment, in the above-described blockchain-based semantic communication system, the authenticity of semantic data transmitted from an edge device to a metauniverse virtual service provider may be ensured to facilitate interactions of a physical space and a metauniverse virtual space; meanwhile, semantic similarity of the contrast semantic data and the real semantic data is distinguished by using a blockchain and zero knowledge proof, and authenticity of semantic data conversion is checked, so that malicious attacks in the semantic communication transmission process can be effectively prevented; meanwhile, referring to fig. 3, the blockchain-based semantic communication system may implement specific semantic communication by: first, semantic extraction and transmission of interaction data between a physical space (which may be, for example, edge device 210) and a virtual space (which may also be understood as metauniverse virtual space by virtual device provider 230); for example, the edge device extracts semantic data from the original information and transmits to the virtual service provider VSP (Virtualization Service Provider); then, the VSP can quickly digitize the physical field by using the received semantic data; in the practical application process, the scheme can effectively cope with high-frequency mass data interaction between the VSP and the scattered edge equipment; secondly, semantic conversion and verification; specifically, in the practical application process, an attacker may tamper with the data before the semantic data is linked up, so that the semantic similarity (almost the same descriptor) is maintained, but the data have different expected meanings; for example, referring to fig. 4, the semantic data of an image may be mapped to a high-dimensional descriptor using a convolutional layer 410, a pooling layer 420, and a full-connection layer 430 in a CNN (Convolutional Neural Network ), and thus the semantic similarity distinguishable by the resulting high-dimensional descriptor may be used; to solve the technical problem, the exemplary embodiments of the present disclosure design a zero-knowledge algorithm generating circuit to record and verify a conversion performed on semantic data, and an edge device generates a proof of the conversion and outputs the converted semantic data using the extracted semantic data as an input, and further transmits the proof and the semantic data to a VSP through a blockchain network for verification. Meanwhile, between VSP and distributed edge equipment distribution, block chain and zero knowledge proof recording and verification semantic data conversion are applied, and data mutation can be effectively prevented.
In an example embodiment, the VSP may also, upon receiving semantic data (images) from edge devices deployed at different locations, render the images, perceive landmarks, create artistic content, etc. through an AIGC (Artificial Intelligence Generated Content, artificial intelligence generation content) service in the meta universe; for example, the VSP may render 3D scenes with landmark semantic data from different angles, providing a seamless virtual world experience for the user; VSP may also utilize landmark information to generate digital artwork; meanwhile, because the AIGC service plays an important role in the interaction between the physical world and the real world, the use of data resources can be promoted, and the meta-universe application can be enriched, so that the real semantic data is crucial for the subsequent AIGC service, and the quality of the real semantic data can influence the content generated by the AIGC; meanwhile, the accuracy of the content generated by the AIGC will determine the accuracy of the virtual world to physical world re-etching.
The blockchain-based semantic communication method shown in fig. 1 will be further explained and described below in conjunction with fig. 2-4. Specific:
in step S110, the edge device performs fuzzy processing on the original semantic data based on a preset circuit compiler, obtains a data conversion proof of the original semantic data and the converted semantic data, and calculates a common reference character string based on the circuit compiler.
In this exemplary embodiment, first, the original data is subjected to fuzzy processing based on a preset circuit compiler through the edge device, so as to obtain data conversion evidence of the original semantic data and the converted semantic data; the predetermined circuit compiler described herein may be, for example, a circuit C, that is, a circuit compiler circle; in the actual application process, the arithmetic expression mapping relation f may be used to start logic in the computing circuit C to obtain a data conversion proof (private witness w) of the original semantic data and the converted semantic data (public sentence s).
In an example embodiment, the fuzzy processing is performed on the original semantic data based on a preset circuit compiler, so as to obtain the data conversion proof of the original semantic data and the converted semantic data, which can be realized by the following modes: firstly, obtaining original image data, and cutting the original image data to obtain original semantic data in the original image data; secondly, bilinear interpolation processing is carried out on the original semantic data based on a preset circuit compiler to obtain converted semantic data, and the relation between the original semantic data and the converted semantic data is calculated based on the circuit compiler to obtain the data conversion evidence; the original image data is cut to obtain original semantic data in the original image data, and the original semantic data can be realized in the following manner: cutting key components in the original image data based on a preset semantic segmentation model, and obtaining the original semantic data in the original image data according to the cut key components.
The data transformation proof and the specific implementation process of the transformed semantic data will be further explained and explained below. Specifically, first, the original image data acquired by the edge device based on the image acquisition component can be acquired; the original image data recorded herein have different image categories under different application scenes; for example, in an unmanned scenario, the raw image data described herein may include, but is not limited to, landmark building images, road traffic situation images, and traffic light images, among others; for another example, in an artistic scene, the original image data may include statues, artwork, and the like; in the actual application process, corresponding original image data may be acquired according to an actual scene, which is not particularly limited in this example.
And secondly, cutting key components in the original image data based on a preset semantic segmentation model, and obtaining the original semantic data in the original image data according to the cut key components. The semantic segmentation model described herein may also be referred to as a semantic segmentation module; further, referring to fig. 5, the semantic segmentation model may include a stem feature extraction network 510, a neck feature fusion network 520, and a head feature detection network 530; the method comprises the steps of carrying out a first treatment on the surface of the In the practical application process, the specific semantic segmentation process can be realized by the following modes: firstly, performing downsampling processing on original image data by utilizing a trunk feature extraction network to obtain local features; secondly, the neck feature fusion network is utilized to carry out bidirectional fusion on local features from deep layer to shallow layer and then from shallow layer to deep layer, so as to obtain global features; and then, detecting the category information and the position information of the target object included in the global feature by utilizing the head feature detection network to obtain key components in the original image data, and finally, splicing the key components to obtain the original semantic data in the original image data.
Further, after the original semantic data is obtained, bilinear interpolation processing can be performed on the original semantic data based on a preset circuit compiler, so as to obtain converted semantic data; that is, the circuit circle can be controlled to realize bilinear interpolation logic through a circuit compiler in zero knowledge verification, and then the original semantic data is subjected to fuzzy processing based on the bilinear interpolation logic, so that converted semantic data can be obtained; finally, inputting the original semantic data and the converted semantic data into a circuit compiler to obtain the relation between the original semantic data and the converted semantic data, thereby obtaining corresponding data conversion evidence; the specific implementation process can be shown in the following formula (1):
extract (f) → (s, w); formula (1)
Wherein f is a specific mapping process, s is data conversion proof, and w is converted semantic data.
It should be noted that, by converting the original semantic data by using bilinear interpolation algorithm, the purposes of blurring the extracted image (i.e. the original semantic data), increasing visual invariance, and distinguishing the contrast and true semantic extraction can be achieved; however, because VSP has difficulty verifying whether the ambiguous semantic data is from a real transition, an attacker may have adjusted some pixels so that the descriptors of the challenge image generated after tampering resemble the real image, and thus the present disclosure introduces a circuit compiler in zero knowledge proof; meanwhile, based on the relation between the input semantic data and the output semantic data, the circuit compiler can realize verifiable calculation of the converted semantic data without revealing the content of the input semantic data, thereby achieving the possibility of avoiding tampering.
Secondly, after obtaining the data conversion proof and the converted semantic data, the common reference character string is also required to be calculated based on the circuit compiler. Specifically, the method can be realized by the following steps: acquiring preset safety parameters, and inputting the preset safety parameters and the circuit compiler into a key generation model to obtain the public reference character string; wherein the reference string includes an evaluation authorization key and a verification key. Specifically, in the practical application process, the security parameters described herein can be set automatically according to the actual needs, and the security parameters are 1 in the present disclosure λ Explanation and illustration is made for examples. At the same time, the key generation model described herein, i.e. Setup function, can directly output the security parameters and the circuit compilerEntering a Setup function to obtain a common reference string (Common Reference String, CRS); wherein the public reference character string comprises an evaluation authorization key crs.ek and a verification key crs.vk; where crs.ek can be certified and crs.vk can be used for validation. In the practical application process, the specific generation process of the common reference character string can be shown in the following formula (2):
In step S120, the edge device determines a zero-knowledge verification result according to the evaluation authorization key in the reference string, and uploads the zero-knowledge verification result, the verification key in the reference string, and the converted semantic data to a blockchain.
Specifically, the zero knowledge verification result is determined according to the evaluation authorization key in the reference character string, and the zero knowledge verification result can be realized by the following modes: and inputting the evaluation authorization key, the data conversion evidence and the converted semantic data in the reference character string into a data demonstration model to obtain a zero knowledge verification result. That is, in the actual application process, the evaluation authorization key crs, ek corresponding to the converted original semantic data, the converted semantic data s and the data conversion proof w may be input into the data proof model to generate a zero knowledge proof pi, and then the zero knowledge proof is used to reflect and verify the relationship; wherein the data attestation model described herein, namely the Prover function; meanwhile, as the converted semantic data s and the data conversion evidence w represent public information and private information corresponding to the conversion relation, a zero knowledge proof pi can be generated to reflect and verify the relation; the specific generation process of the zero knowledge verification result can be shown in the following formula (3):
It should be noted that the following relationship may be satisfied by the converted semantic data s and the data conversion certificate w described herein: c (s, w) =1 is satisfied.
In step S130, the blockchain proves the authenticity of the conversion process of the converted semantic data according to the zero knowledge verification result and the verification key, and a data verification result is obtained.
Specifically, the authenticity of the conversion process of the converted semantic data is proved according to the zero knowledge verification result and the verification key, and the data verification result is obtained, which can be realized by the following modes: inputting the zero knowledge verification result and the verification key into a data verification model, and proving the authenticity of the conversion process of the converted semantic data according to the output result of the data verification model to obtain a data verification result; if the output result of the data verification model is 1, the data verification result is that the authenticity verification of the conversion process of the converted semantic data is successful; and if the output result of the data verification model is 0, the data verification result is that the authenticity verification of the conversion process of the converted semantic data fails. That is, in the practical application process, the zero knowledge verification result and the verification key can be directly input into the data verification model (Verifier function) in the blockchain, so that the corresponding data verification result can be obtained. The specific implementation process is as follows:
VSP verifies the authenticity of the conversion using intelligent contracts deployed on the blockchain; meanwhile, the verification process is realized in the blockchain, so that the edge equipment and the VSP can query the verification result and construct trust in a decentralization mode; in the practical application process, the verification key crs. Vk, the statement s and the proof pi generated in the last step can be used as the input of the intelligent contract, and the data verification result can be obtained. The process of proving verification (i.e. the specific generation process of the data verification result) can be implemented by the following formula (4):
verify (crs. Vk, s, pi) → {0,1}; formula (4)
In step S140, the virtual service provider determines the data authenticity of the converted semantic data according to the data verification result.
Specifically, determining the data authenticity of the converted semantic data according to the data verification result can be achieved by the following modes: if the data verification result is that the authenticity verification of the conversion process of the converted semantic data is successful, determining that the data authenticity of the converted semantic data is true; and if the data verification result is that the authenticity verification of the conversion process of the converted semantic data fails, determining that the data authenticity of the converted semantic data is false.
In an example embodiment, the blockchain-based semantic communication method may further include: when the data authenticity of the converted semantic data is determined to be true, the virtual service provider acquires the converted semantic data and data conversion evidence provided by the edge equipment from the blockchain, and obtains original semantic data according to the converted semantic data and the data conversion evidence; and when the data authenticity of the converted semantic data is determined to be false, rejecting the converted semantic data and the data conversion certification provided by the edge equipment by the virtual service provider. That is, the VSP may determine whether to accept or reject the attestation based on the output; when the output state of the data verification model is 1, the verification is proved to be successful, and the VSP receives the converted semantic data and the data conversion proof provided by the edge equipment; otherwise, the VSP refuses to accept the evidence corresponding to the semantic data generated by the malicious edge device, and refuses the converted semantic data.
In an example embodiment, the blockchain-based semantic communication method further includes: and the virtual service provider digitizes the original semantic data based on a preset metauniverse virtual space to obtain a virtual environment scene corresponding to the original image data acquired by the edge equipment. The original semantic data is digitally processed based on a preset meta-universe virtual space, and a virtual environment scene corresponding to the original image data acquired by the edge equipment is obtained, wherein the method can be realized by the following steps of: invoking artificial intelligence in the preset meta-universe virtual space to generate a content model; and extracting landmark semantic data included in the original semantic data based on the artificial intelligence generation content model, and rendering the virtual environment scene according to the landmark semantic data. That is, in the actual application process, the meta space virtual space in the VSP can digitize the original semantic data to obtain a corresponding virtual environment scene; for example, in the process of rendering an image, perceiving landmarks, creating artistic content, and the like through the AIGC service, a corresponding virtual environment scene may be generated according to actual needs in the actual application process, which is not particularly limited in this example.
In an example embodiment, the semantic communication method based on the blockchain described in the example embodiment of the disclosure may also be directly applied to a scenario of constructing a virtual road environment in the meta universe for automatic driving test; for example, edge devices at different locations in a physical world traffic road may intelligently collect photographs of traffic conditions from multiple angles; meanwhile, in order to reduce information redundancy, a semantic segmentation module can be utilized to cut key components of the image into semantic data; meanwhile, semantic data can be transmitted to the VSP to report traffic conditions on the road; further, the VSP collects semantic data from a plurality of edge devices to train virtual road environments under different conditions; based on this approach, the VSP can verify the authenticity of the semantic data using blockchain and zero knowledge proof, ensuring that reliable data is received from the edge devices in order to truly simulate the road conditions. Furthermore, the semantic communication method based on the blockchain described in the exemplary embodiments of the present disclosure may be directly applied to fields such as industrial metauniverse, and uses blockchain intelligent contracts and zero knowledge proof to drive and build large-scale, highly reliable and extensible metauniverse network infrastructure, serving industrial digital twin, aigc+office coordination, etc.
The blockchain-based semantic communication method described in the exemplary embodiments of the present disclosure will be further explained and illustrated below with reference to fig. 6. Specifically, referring to fig. 6, the semantic communication method based on blockchain may include the following steps:
step S610, the edge device acquires original image data, and cuts the original image data to obtain original semantic data in the original image data;
step S620, the edge device carries out bilinear interpolation processing on the original semantic data based on a preset circuit compiler to obtain converted semantic data;
step S630, the edge device calculates the relation between the original semantic data and the converted semantic data based on the circuit compiler to obtain data conversion evidence, and calculates the common reference character string based on the circuit compiler;
step S640, the edge device determines a zero knowledge verification result according to the evaluation authorization key in the reference character string, and uploads the zero knowledge verification result, the verification key in the reference character string and the converted semantic data to the blockchain;
step S650, the blockchain proves the authenticity of the conversion process of the converted semantic data according to the zero knowledge verification result and the verification key to obtain a data verification result;
Step S660, the virtual service provider determines the data authenticity of the converted semantic data according to the data verification result;
step S670, when the virtual service provider determines that the data authenticity of the converted semantic data is true, the virtual service provider acquires the converted semantic data and the data conversion evidence provided by the edge device from the blockchain, and obtains the original semantic data according to the converted semantic data and the data conversion evidence;
step S680, when the virtual service provider determines that the data authenticity of the converted semantic data is false, the virtual service provider rejects the converted semantic data and the data conversion certificate provided by the edge device;
in step S690, the virtual service provider digitizes the original semantic data based on the preset meta-universe virtual space to obtain a virtual environment scene corresponding to the original image data collected by the edge device.
So far, the semantic communication method based on the blockchain described in the exemplary embodiment of the present disclosure has been fully implemented. Based on the foregoing, it can be known that, according to the semantic communication method based on the blockchain provided by the exemplary embodiment of the present disclosure, on one hand, authenticity of semantic data transmitted from an edge device to a meta-universe virtual service provider can be ensured, and malicious attacks in the process of semantic communication transmission can be effectively defended; on the other hand, the integration of blockchain and semantic communication can enable semantic information to be exchanged between scattered edge devices and a metauniverse virtual service provider VSP more effectively and safely; meanwhile, the blockchain can establish trust between anonymous edge devices and share semantic information so as to prevent third party attackers from manipulating and modifying the semantic information.
The following are device embodiments of the present disclosure that may be used to perform method embodiments of the present disclosure. For details not disclosed in the embodiments of the apparatus of the present disclosure, please refer to the embodiments of the method of the present disclosure.
The exemplary embodiments of the present disclosure also provide a semantic communication device based on blockchain. In particular, referring to FIG. 7, the blockchain-based semantic communication device may include a semantic data processing module 710, a zero knowledge verification result determination module 720, an authenticity verification module 730, and a data authenticity determination module 740. Wherein:
the semantic data processing module 710 may be configured to perform fuzzy processing on original semantic data based on a preset circuit compiler through an edge device, obtain a data conversion proof of the original semantic data and converted semantic data, and calculate a common reference string based on the circuit compiler;
the zero knowledge verification result determining module 720 may be configured to determine, by using the edge device, a zero knowledge verification result according to the evaluation authorization key in the reference string, and upload the zero knowledge verification result, the verification key in the reference string, and the converted semantic data to a blockchain;
The authenticity proving module 730 may be configured to prove, by using the blockchain, the authenticity of the converted semantic data conversion process according to the zero knowledge verification result and the verification key, so as to obtain a data verification result;
the data authenticity determining module 740 may be configured to determine, by the virtual service provider, the data authenticity of the converted semantic data according to the data verification result.
In an exemplary embodiment of the present disclosure, performing fuzzy processing on original semantic data based on a preset circuit compiler to obtain data conversion proof of the original semantic data and converted semantic data, including: acquiring original image data, and cutting the original image data to obtain original semantic data in the original image data; and carrying out bilinear interpolation processing on the original semantic data based on a preset circuit compiler to obtain converted semantic data, and calculating the relation between the original semantic data and the converted semantic data based on the circuit compiler to obtain the data conversion evidence.
In an exemplary embodiment of the present disclosure, cropping the original image data to obtain original semantic data in the original image data includes: cutting key components in the original image data based on a preset semantic segmentation model, and obtaining the original semantic data in the original image data according to the cut key components.
In one exemplary embodiment of the present disclosure, calculating a common reference string based on the circuit compiler includes: acquiring preset safety parameters, and inputting the preset safety parameters and the circuit compiler into a key generation model to obtain the public reference character string; wherein the reference string includes an evaluation authorization key and a verification key.
In one exemplary embodiment of the present disclosure, determining a zero knowledge verification result from an evaluation authorization key in the reference string includes: and inputting the evaluation authorization key, the data conversion evidence and the converted semantic data in the reference character string into a data demonstration model to obtain a zero knowledge verification result.
In an exemplary embodiment of the present disclosure, verifying the authenticity of the conversion process of the converted semantic data according to a zero knowledge verification result and a verification key, to obtain a data verification result, including: inputting the zero knowledge verification result and the verification key into a data verification model, and proving the authenticity of the conversion process of the converted semantic data according to the output result of the data verification model to obtain a data verification result; if the output result of the data verification model is 1, the data verification result is that the authenticity verification of the conversion process of the converted semantic data is successful; and if the output result of the data verification model is 0, the data verification result is that the authenticity verification of the conversion process of the converted semantic data fails.
In an exemplary embodiment of the present disclosure, determining the data authenticity of the converted semantic data according to the data verification result includes: if the data verification result is that the authenticity verification of the conversion process of the converted semantic data is successful, determining that the data authenticity of the converted semantic data is true; and if the data verification result is that the authenticity verification of the conversion process of the converted semantic data fails, determining that the data authenticity of the converted semantic data is false.
In an exemplary embodiment of the present disclosure, the blockchain-based semantic communication device further includes:
the semantic data receiving module can be used for acquiring the converted semantic data and data conversion evidence provided by the edge equipment from the blockchain through the virtual service provider when the data authenticity of the converted semantic data is determined to be true, and obtaining original semantic data according to the converted semantic data and the data conversion evidence;
and the semantic data rejecting module can be used for rejecting the converted semantic data and the data conversion certification provided by the edge equipment through the virtual service provider when the data authenticity of the converted semantic data is determined to be false.
In an exemplary embodiment of the present disclosure, the blockchain-based semantic communication device further includes:
the digitizing processing module can be used for digitizing the original semantic data based on a preset metauniverse virtual space through the virtual service provider to obtain a virtual environment scene corresponding to the original image data acquired by the edge equipment.
In an exemplary embodiment of the present disclosure, the digitizing the original semantic data based on a preset metauniverse virtual space to obtain a virtual environment scene corresponding to the original image data collected by the edge device, includes: invoking artificial intelligence in the preset meta-universe virtual space to generate a content model; and extracting landmark semantic data included in the original semantic data based on the artificial intelligence generation content model, and rendering the virtual environment scene according to the landmark semantic data.
The details of each module in the above-mentioned semantic communication device based on the blockchain are described in detail in the corresponding semantic communication method based on the blockchain, so that they will not be described in detail here.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 800 according to such an embodiment of the present disclosure is described below with reference to fig. 8. The electronic device 800 shown in fig. 8 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.
As shown in fig. 8, the electronic device 800 is embodied in the form of a general purpose computing device. Components of electronic device 800 may include, but are not limited to: the at least one processing unit 810, the at least one storage unit 820, a bus 830 connecting the different system components (including the storage unit 820 and the processing unit 810), and a display unit 840.
Wherein the storage unit stores program code that is executable by the processing unit 810 such that the processing unit 810 performs steps according to various exemplary embodiments of the present disclosure described in the above section of the present specification. For example, the processing unit 810 may perform step S110 as shown in fig. 1: the edge equipment performs fuzzy processing on original semantic data based on a preset circuit compiler to obtain data conversion evidence of the original semantic data and converted semantic data, and calculates a common reference character string based on the circuit compiler; step S120: the edge equipment determines a zero knowledge verification result according to the evaluation authorization key in the reference character string, and uploads the zero knowledge verification result, the verification key in the reference character string and the converted semantic data to a blockchain; step S130: the blockchain proves the authenticity of the conversion process of the converted semantic data according to the zero knowledge verification result and the verification key to obtain a data verification result; step S140: and the virtual service provider determines the data authenticity of the converted semantic data according to the data verification result.
The storage unit 820 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 8201 and/or cache memory 8202, and may further include Read Only Memory (ROM) 8203.
Storage unit 820 may also include a program/utility 8204 having a set (at least one) of program modules 8205, such program modules 8205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 830 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 800 may also communicate with one or more external devices 900 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 800, and/or any device (e.g., router, modem, etc.) that enables the electronic device 800 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 850. Also, electronic device 800 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 860. As shown, network adapter 860 communicates with other modules of electronic device 800 over bus 830. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 800, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. In some possible implementations, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.
A program product for implementing the above-described method according to an embodiment of the present disclosure may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Furthermore, the above-described figures are only schematic illustrations of processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims (13)

1. A blockchain-based semantic communication method, comprising:
the edge equipment performs fuzzy processing on original semantic data based on a preset circuit compiler to obtain data conversion evidence of the original semantic data and converted semantic data, and calculates a common reference character string based on the circuit compiler;
The edge equipment determines a zero knowledge verification result according to the evaluation authorization key in the reference character string, and uploads the zero knowledge verification result, the verification key in the reference character string and the converted semantic data to a blockchain;
the blockchain proves the authenticity of the conversion process of the converted semantic data according to the zero knowledge verification result and the verification key to obtain a data verification result;
and the virtual service provider determines the data authenticity of the converted semantic data according to the data verification result.
2. The blockchain-based semantic communication method according to claim 1, wherein the blurring processing is performed on the original semantic data based on a preset circuit compiler to obtain a data conversion proof of the original semantic data and converted semantic data, and the method comprises the following steps:
acquiring original image data, and cutting the original image data to obtain original semantic data in the original image data;
and carrying out bilinear interpolation processing on the original semantic data based on a preset circuit compiler to obtain converted semantic data, and calculating the relation between the original semantic data and the converted semantic data based on the circuit compiler to obtain the data conversion evidence.
3. The blockchain-based semantic communication method of claim 2, wherein clipping the original image data to obtain the original semantic data in the original image data comprises:
cutting key components in the original image data based on a preset semantic segmentation model, and obtaining the original semantic data in the original image data according to the cut key components.
4. The blockchain-based semantic communication method of claim 1, wherein calculating a common reference string based on the circuit compiler comprises:
acquiring preset safety parameters, and inputting the preset safety parameters and the circuit compiler into a key generation model to obtain the public reference character string; wherein the reference string includes an evaluation authorization key and a verification key.
5. The blockchain-based semantic communication method of claim 1, wherein determining a zero knowledge verification result based on an evaluation authorization key in the reference string comprises:
and inputting the evaluation authorization key, the data conversion evidence and the converted semantic data in the reference character string into a data demonstration model to obtain a zero knowledge verification result.
6. The blockchain-based semantic communication method according to claim 1, wherein proving the authenticity of the conversion process of the converted semantic data according to a zero knowledge verification result and a verification key to obtain a data verification result comprises:
inputting the zero knowledge verification result and the verification key into a data verification model, and proving the authenticity of the conversion process of the converted semantic data according to the output result of the data verification model to obtain a data verification result;
if the output result of the data verification model is 1, the data verification result is that the authenticity verification of the conversion process of the converted semantic data is successful; and if the output result of the data verification model is 0, the data verification result is that the authenticity verification of the conversion process of the converted semantic data fails.
7. The blockchain-based semantic communication method of claim 1, wherein determining the data authenticity of the converted semantic data according to the data verification result comprises:
if the data verification result is that the authenticity verification of the conversion process of the converted semantic data is successful, determining that the data authenticity of the converted semantic data is true;
And if the data verification result is that the authenticity verification of the conversion process of the converted semantic data fails, determining that the data authenticity of the converted semantic data is false.
8. The blockchain-based semantic communication method of claim 7, further comprising:
when the data authenticity of the converted semantic data is determined to be true, the virtual service provider acquires the converted semantic data and data conversion evidence provided by the edge equipment from the blockchain, and obtains original semantic data according to the converted semantic data and the data conversion evidence;
and when the data authenticity of the converted semantic data is determined to be false, rejecting the converted semantic data and the data conversion certification provided by the edge equipment by the virtual service provider.
9. The blockchain-based semantic communication method of claim 8, further comprising:
and the virtual service provider digitizes the original semantic data based on a preset metauniverse virtual space to obtain a virtual environment scene corresponding to the original image data acquired by the edge equipment.
10. The semantic communication method based on blockchain according to claim 9, wherein the digitizing the original semantic data based on a preset meta-universe virtual space to obtain a virtual environment scene corresponding to the original image data collected by the edge device, comprises:
invoking artificial intelligence in the preset meta-universe virtual space to generate a content model;
and extracting landmark semantic data included in the original semantic data based on the artificial intelligence generation content model, and rendering the virtual environment scene according to the landmark semantic data.
11. A blockchain-based semantic communication system, comprising:
the edge equipment is used for carrying out fuzzy processing on the original semantic data based on a preset circuit compiler to obtain data conversion evidence of the original semantic data and converted semantic data, and calculating a common reference character string based on the circuit compiler;
the edge device is further configured to determine a zero knowledge verification result according to the evaluation authorization key in the reference character string, and upload the zero knowledge verification result, the verification key in the reference character string, and the converted semantic data to a blockchain;
The block chain is in communication connection with the edge equipment and is used for proving the authenticity of the conversion process of the converted semantic data according to the zero knowledge verification result and the verification key to obtain a data verification result;
and the virtual service provider is in communication connection with the blockchain and is used for determining the data authenticity of the converted semantic data according to the data verification result.
12. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the blockchain-based semantic communication method of any of claims 1-10.
13. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the blockchain-based semantic communication method of any of claims 1-10 via execution of the executable instructions.
CN202311030049.7A 2023-08-15 2023-08-15 Semantic communication method and system based on blockchain, storage medium and equipment Pending CN116996309A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117422002A (en) * 2023-12-19 2024-01-19 利尔达科技集团股份有限公司 AIGC-based embedded product generation method, system and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117422002A (en) * 2023-12-19 2024-01-19 利尔达科技集团股份有限公司 AIGC-based embedded product generation method, system and storage medium
CN117422002B (en) * 2023-12-19 2024-04-19 利尔达科技集团股份有限公司 AIGC-based embedded product generation method, AIGC-based embedded product generation system and storage medium

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