CN114723567B - Financial data information distributed transaction system based on block chain technology - Google Patents
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Abstract
The invention discloses a financial data information distributed transaction system based on a block chain technology, which relates to a financial data interaction safety technology and solves the technical problems of low safety performance, interaction lag and the like of fused data information transaction in the prior art; the encryption module can realize data decryption of data information encrypted and received during data transmission of the financial data terminal, and when data is in danger in the transmission process, the data terminal can automatically give an early warning and clear the data information in the transmission process; the safety capability in the financial data information transaction process is greatly improved.
Description
Technical Field
The invention relates to the technical field of financial data interaction safety, in particular to a financial data information distributed transaction system based on a block chain technology.
Background
Databases, as an important component of enterprise core application systems, have gradually gained considerable position since their emergence, and almost all key applications currently cannot leave the underlying support provided by database systems, especially in the financial industry. In recent years, with the increasing data scale and the increasing data use complexity of more and more financial enterprises, the capability requirement of the bottom layer database is 'water ship height', and the traditional centralized database cannot meet the requirement, so that the distributed database with the characteristics of high performance, expandability, high availability and high fault tolerance becomes the first choice in the digital transformation of the current financial industry, and the trend of the financial industry to the distributed database is said to be a great trend.
In a transaction terminal of financial data information, the financial terminal has a serious trend of distributed distribution, and how to realize distributed transaction in transaction ranges of different time, space and regions still has some technical risks, such as large loophole in a data transaction process, unsafe data transmission process, easy tampering, inconvenient data interaction and the like.
Disclosure of Invention
Aiming at the defects of the technology, the invention discloses a financial data information distributed transaction system based on a block chain technology, which aims to solve the problem of distributed transaction and improve the safety capability in the data transaction process through the block chain technology.
In order to achieve the technical effects, the invention adopts the following technical scheme:
a block chain technology-based financial data information distributed transaction system, comprising:
the financial data terminal generates various financial transaction data information in different areas or positions, is provided with a block chain node, and can realize interaction and application of different data information through the block chain node;
a data storage module; the data storage module comprises an HBASE + HIVE + SPARK storage module, a cloud database, a block chain interface, block chain nodes, a distributed data storage block and a search engine, wherein the HBASE + HIVE + SPARK storage module comprises an HBASE database, an HIVE database and a SPARK database, the output ends of the HBASE database, the cloud database, the HIVE database and the SPARK database are connected with block chain link points through the block chain interface, the block chain link points are connected with the distributed data storage block, and the search engine is arranged in the distributed data storage block;
a distributed data fusion module; the distributed data fusion module is used for realizing fusion of data information of different financial data terminals and summarizing and calculating data of different financial transaction data types, and is provided with block chain data nodes;
a block chain network; the financial data information is stored in the blocks as a data block chain consisting of a plurality of blocks, the financial data information is connected into chains according to the time sequence of the financial data information generated respectively, and the chains are stored in a block chain server to provide storage space and calculation support for the whole block chain system;
a block chain node; the server as an area is provided with a consensus mechanism, so that data connection of different financial data terminals can be realized;
an encryption module; the data encryption and data decryption of received data information can be realized during data transmission of the financial data terminal, and when the data meets danger in the transmission process, the data encryption and data decryption can be automatically early warned and the data information in the transmission process can be cleared;
the financial data terminal, the data storage module, the distributed data fusion module and the encryption module are arranged in a block chain network, the output end of the financial data terminal is connected with the input end of the data storage module, the output end of the data storage module is connected with the input end of the distributed data fusion module, and the output end of the distributed data fusion module is connected with the input end of the encryption module.
As a further technical solution of the present invention, the method for implementing storage by the data storage module comprises:
(1) receiving data information sent by a financial data terminal, writing the received data information in the data information, and calling a function to realize information interaction among different database information;
(2) reading financial data information, sending a calling function to data information of a block chain node by calling an open function at a distributed financial data terminal, and acquiring data block information of each distributed financial data terminal by the block chain node arranged in each database;
(3) and storing the financial data information, and calling the data program stored in the block chain.
As a further technical scheme of the invention, the search engine is a Bayesian algorithm search engine or a K-means algorithm search engine or a combination of the Bayesian algorithm search engine and the K-means algorithm search engine, wherein the Bayesian algorithm search engine or the K-means algorithm search engine is provided with a block chain interface.
As a further technical scheme of the invention, the distributed data fusion module comprises a block chain fusion interface, a fusion module and a Nash equalization algorithm module, wherein the block chain fusion interface is used for receiving distributed data information through a block chain network, the fusion module is used for fusing different types of financial data information, and the Nash equalization algorithm module is used for adjusting different storage modules to realize scheduling of different data information of the block chain.
As a further technical solution of the present invention, the Nash equalization algorithm module realizes the balance and adjustment of financial data information of different block chain nodes by the following method:
step one, setting a storage function of a data storage module, wherein the expression is as follows:
in the formula (1), the reaction mixture is,
a function representing the type of blockchain financial data stored by the data storage module,
is shown as
The individual blockchain storage nodes store the data information analysis rate,
indicating different types of block link point compatible transaction data information storage parameters,
representing the HBASE database data storage,
representing the HIVE database data store,
representing the data store of the SPARK database,
、
、
representing the function formulas of block chain storage information of an HBASE database, an HIVE database and an SPARK database,
the representation of the database is represented by a representation,
it is shown that the index of the database identifies,
indicates the data type of the HBASE database,
the type of data representing the HIVE database,
data types representing the SPARK database;
step two, adjusting the stored financial data information of the data storage module;
and performing Nash balance adjustment according to the parameters of the block chain for storing the financial data information in the data storage module, wherein an adjustment function is expressed as:
in the formula (2), the reaction mixture is,
indicating an equalization value of the blockchain data within the zone storing the financial data information,
indicating the state of the block chain financial data information in the block of stored financial data information,
indicating the equalization speed of the blockchain financial data information schedule,
representing different types of block chain storage parameters, wherein n block chains store the number of the parameters, and i represents the number of block chains;
a parameter representing a block chain data equalization value;
step three, adjusting block chain storage indexes and carrying out standardized processing;
after Nash equalization, the block chain financial data information storage index in the data storage module is standardized as follows:
the compound of the formula (3),
indicating the normalized blockchain storage index,
in (1)
Expressed as a kind of block chain storage indicator,
in (1)
Expressed as the length of the blockchain storage pointer;
representing values in a data storage module having a blockchain input representation, wherein
In (1)
A symbol representing the data of the block chain,
in (1)
Representing the equalization speed of the blockchain financial data information schedule,
in (1)
Representing the scheduled data identity of the blockchain financial data information,
in (1)
A block chain storage node is represented as,
a data index representing the blockchain financial data information after storage,
a time difference representing when the financial transaction data information implements a schedule in the blockchain network;
step four, realizing the input and update of the financial data information of the block chain by an update optimization algorithm;
for equalized blockchain dataThe storage module is used for ensuring the optimization of the input and the update of the financial data information of the block chain if the financial data information interaction of the block chain is carried out, and the optimization is carried out
And (4) evaluating a function:
in the formula (4), the reaction mixture is,
representing the optimal block chain financial data information interaction method function,
in (1)
Indicating the block chain financial data information interaction change in the equilibrium state,
in (1)
Indicating the number of interactions of the different block link point data information,
the process of representing blockchain financial data information interaction is efficient,
representing the initial blockchain financial data information output,
indicating the block chain data information updating optimization algorithm process index coefficient,
representing the changing state of the block storing the financial data information with time,
and representing the financial data information interaction function of the block chain in an unbalanced state.
The effective rate difference function is:
in the formula (5), the reaction mixture is,
a difference value representing a valid data update for the blockchain financial transaction,
the efficiency of block chain financial data information interaction in an equilibrium state is shown,
the interaction of blockchain financial data information indicating an under-balanced condition is efficient,
indicating the maximum amount of data updates allowed for the entire block in the blockchain network.
As a further technical solution of the present invention, the encryption module is an improved Blowfish encryption algorithm module, and the improved Blowfish encryption algorithm module includes an encryption unit, a block link point, and a decryption unit, wherein an output end of the encryption unit is connected to an input end of a block link node, and an output end of the block link node is connected to an input end of the decryption unit.
As a further technical scheme of the invention, an early warning function and a zero clearing function are arranged in an encryption unit, the encryption unit encrypts data information in a transmission process through a Blowfish encryption algorithm in the encryption process, the early warning function is automatically started when the encrypted data information meets risk data information, the risk occurrence in the transmission process is prompted, when the early warning level reaches the set highest level, the zero clearing function is automatically started, the high-risk financial data information in the transmission process is cleared, and the financial data information before being cleared is returned in an original way.
As a further technical scheme of the invention, the working method of the decryption unit comprises the following steps:
decrypting the signature block by using the MD5 algorithm public key, comparing the ciphertext of the official document by using the hash function digest, if the sources are the same and no loophole is found, considering the file as complete without resending, if the MD5 algorithm public key can not realize data decryption, starting the RSA decryption algorithm to decrypt the data information of the file, and then outputting the secret key of the Blowfish encryption algorithm; and finally, decrypting the document ciphertext through the key of the Blowfish encryption algorithm, and outputting the decrypted electronic file M.
The invention has the beneficial and positive effects that:
different from the conventional technology, the data storage module can be used for storing different financial transaction data information, the adopted data storage modules are an HBASE + HIVE + SPARK storage module and a cloud database, and the block chain interface, the block chain node, the distributed data storage block and the search engine are arranged in the storage modules, so that the data storage capacity and the data search capacity are improved. The integration of data information of different financial data terminals can be realized by arranging the distributed data integration module, the financial data information can be stored by the block chain network, and the data connection of different financial data terminals can be realized by arranging the block chain nodes; the encryption module can realize data decryption of data information encrypted and received during data transmission of the financial data terminal, and when data is in danger in the transmission process, the data terminal can automatically give an early warning and clear the data information in the transmission process;
drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without inventive exercise, wherein:
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic diagram of a data storage module according to the present invention;
FIG. 3 is a schematic diagram of an embodiment of an encryption method in the present invention;
FIG. 4 is a diagram of an embodiment of an encryption method in the present invention;
fig. 5 is a schematic diagram of an embodiment of a decryption method according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 and 2, a block chain technology-based financial data information distributed transaction system includes:
the financial data terminal generates various financial transaction data information in different areas or positions, is provided with a block chain node, and can realize interaction and application of different data information through the block chain node;
a data storage module; the data storage module comprises an HBASE + HIVE + SPARK storage module, a cloud database, a block chain interface, block chain nodes, a distributed data storage block and a search engine, wherein the HBASE + HIVE + SPARK storage module comprises an HBASE database, an HIVE database and a SPARK database, the output ends of the HBASE database, the cloud database, the HIVE database and the SPARK database are connected with block chain link points through the block chain interface, the block chain link points are connected with the distributed data storage block, and the search engine is arranged in the distributed data storage block;
a distributed data fusion module; the distributed data fusion module is used for realizing fusion of data information of different financial data terminals and summarizing and calculating data of different financial transaction data types, and is provided with block chain data nodes;
a block chain network; the financial data information is stored in the blocks as a data block chain consisting of a plurality of blocks, the financial data information is connected into chains according to the time sequence of the financial data information generated respectively, and the chains are stored in a block chain server to provide storage space and calculation support for the whole block chain system;
a block chain node; the server as an area is provided with a consensus mechanism, so that data connection of different financial data terminals can be realized;
an encryption module; the data encryption and data decryption of received data information can be realized during data transmission of the financial data terminal, and when the data meets danger in the transmission process, the data encryption and data decryption can be automatically early warned and the data information in the transmission process can be cleared;
the financial data terminal, the data storage module, the distributed data fusion module and the encryption module are arranged in a block chain network, the output end of the financial data terminal is connected with the input end of the data storage module, the output end of the data storage module is connected with the input end of the distributed data fusion module, and the output end of the distributed data fusion module is connected with the input end of the encryption module.
In the above embodiment, the method for implementing storage by the data storage module is as follows:
(1) receiving data information sent by a financial data terminal, writing the received data information in the data information, and calling a function to realize information interaction among different database information;
in a specific embodiment, for example, a create () procedure in a Distributed File System function is called, after initialization, different File information of a received medium-voltage device is Output to an HBASE, high, or span database, a block chain network architecture node at this time receives the data information and queries the data information through a search engine according to data content, when a data interface receives the data information, a data receiving condition is Output according to a File creating authority set by a user before receiving data, after data is received, FSData Output Stream can divide the received File information into a plurality of packets, interaction of the data information is realized among data nodes of different databases, and the received data information is written into the data nodes by means of a write packet scheme. After the data is successfully written, the data office library information can be received, closing of the data information is achieved by calling an ack packet programmer to the client side and manually operating an instruction, and then the information of data completion can be returned to different block chain architecture nodes.
(2) And reading financial data information, sending a calling function to the data information of the block chain nodes by calling an open function at the distributed financial data terminals, and acquiring the data block information of each distributed financial data terminal by the block chain nodes arranged in each database.
And at the user client, acquiring the data information by calling a read () function, and finally identifying the acquired data information at DFSInputStream.
And finally, returning the data information to the user client (3) for storing the financial data information and calling the data program stored in the block chain.
In an embodiment, once the current blockchain data flow is disconnected, the data block is obtained by selecting a blockchain data node. Then a close function is called to block the current data stream. One form of data storage is accomplished in the manner described above. In the research, in order to improve the function of data storage, a cloud storage technology is adopted, and various services such as data security management, cloud data monitoring, block chain scheduling, cloud data sharing and interaction, resource scheduling and the like are integrated in a cloud platform.
In the specific embodiment, the storage module can be used for storing various data information, and the invention is compatible with a data interface of HBASE + HIVE + SPARK, thereby improving the storage capacity of various data and realizing the intercommunication of financial data under different databases. In a specific embodiment, a cloud storage technical method is further introduced, so that the financial data in different positions or environments can be automatically stored, calculated and transmitted, and the data sharing capability and the storage capability are improved.
In a specific embodiment, the method can also realize the functions of data encryption and decryption.
In the above embodiment, the search engine is a bayesian algorithm search engine or a K-means algorithm search engine, or a combination of the bayesian algorithm search engine and the K-means algorithm search engine, where the bayesian algorithm search engine or the K-means algorithm search engine is provided with a block chain interface.
In particular embodiments, the method for implementing distributed storage may also employ data query engine technology that enables data query and retrieval of specific attributes between different databases or data nodes. In indexing data information, a metadata standard defined according to a research on a metadata data storage module and a technology related to the data storage module is sufficiently considered. In the organization architecture, a search engine is divided into a blockchain network Crawler, an indexer, a retriever and a user interface, and the search of data is realized through the components. When data retrieval is carried out, the block chain network Crawler realizes data retrieval through the Web block chain network. The indexer mainly has the function of realizing data analysis through downloaded content and is used for analyzing data according to conditions of a data storage method, retrieval words, objective function classification, document matching and the like. And carrying out data interaction on the analyzed result and a user through a user interface.
In a specific embodiment, the bayesian classification algorithm is a statistical classification method, which is a class of algorithms that use probabilistic statistical knowledge for classification. Naive Bayes (NB) classification algorithms can compete with decision trees and neural network classification algorithms in many cases, can be applied to large databases, and are simple, highly accurate and fast in classification. The K-means clustering algorithm (K-means clustering algorithm) is an iterative solution clustering analysis algorithm, and comprises the steps of dividing data into K groups in advance, randomly selecting K objects as initial clustering centers, calculating the distance between each object and each seed clustering center, and allocating each object to the nearest clustering center. The cluster centers and the objects assigned to them represent a cluster. The cluster center of a cluster is recalculated for each sample assigned based on the objects existing in the cluster. This process will be repeated until some termination condition is met. The termination condition may be that no (or minimum number) objects are reassigned to different clusters, no (or minimum number) cluster centers are changed again, and the sum of squared errors is locally minimal.
In the above embodiment, the distributed data fusion module includes a blockchain fusion interface, a fusion module, and a Nash equalization algorithm module, where the blockchain fusion interface is configured to receive distributed data information through a blockchain network, the fusion module is configured to fuse different types of financial data information, and the Nash equalization algorithm module is configured to adjust different storage modules, so as to implement scheduling of different data information of a blockchain.
In the embodiment, the Nash equilibrium algorithm module realizes the equilibrium and adjustment of financial data information of different block chain nodes by the following method
Nash equilibrium (Nash equilibrium) mainly forms a game situation for financial transaction data information with correlation, changes among fused transaction data information in the game process can cause changes of overall financial transaction data, if individual financial transaction data information changes states, other financial transaction data information individuals in the game cannot change, and Nash equilibrium is necessary in group management of financial transaction data.
In the block chain data storage module, the financial transaction data information can be adaptively adjusted according to the type of the block chain in the storage time, so that the data storage module can make a corresponding storage process according to the requirement.
Step one, setting a storage function of a data storage module, wherein the expression formula is as follows:
in the formula (1), the reaction mixture is,
a function representing the type of blockchain financial data stored by the data storage module,
is shown as
The individual blockchain storage nodes store the data information analysis rate,
indicating different types of block link point compatible transaction data information storage parameters,
representing the HBASE database data storage,
representing the HIVE database data store,
representing the data store of the SPARK database,
、
、
representing the function formulas of block chain storage information of an HBASE database, an HIVE database and an SPARK database,
the representation of the database is represented by a representation,
it is shown that the index of the database identifies,
indicates the data type of the HBASE database,
the type of data representing the HIVE database,
data types representing the SPARK database;
step two, adjusting the stored financial data information of the data storage module;
and performing Nash balance adjustment according to the parameters of the block chain for storing the financial data information in the data storage module, wherein an adjustment function is expressed as:
in the formula (2), the reaction mixture is,
indicating an equalization value of the blockchain data within the zone storing the financial data information,
indicating the state of the block chain financial data information in the block of stored financial data information,
indicating the equalization speed of the blockchain financial data information schedule,
representing different classesThe block chain of the type stores parameters, the number of n block chain storage parameters, and i represents the number of block chain blocks;
a parameter representing a block chain data equalization value;
step three, adjusting block chain storage indexes and carrying out standardized processing;
after Nash equalization, the block chain financial data information storage index in the data storage module is standardized as follows:
the compound of the formula (3),
indicating the normalized blockchain storage index,
in (1)
Expressed as a kind of block chain storage indicator,
in (1)
Length expressed as a blockchain storage index;
representing values in a data storage module having a blockchain input representation, wherein
In (1)
To representThe block chain data symbols are then transmitted to the mobile station,
in
Indicating the equalization speed of the blockchain financial data information schedule,
in (1)
Representing the scheduled data identity of the blockchain financial data information,
in (1)
A block chain storage node is represented as,
a data index representing the blockchain financial data information after storage,
a time difference representing when the financial transaction data information implements a schedule in the blockchain network;
step four, realizing the input and update of the financial data information of the block chain by an update optimization algorithm;
for the balanced block chain data storage module, if block chain financial data information interaction is carried out, optimization of block chain financial data information input and update needs to be guaranteed, and the balance is achieved
And (4) evaluating a function:
in the formula (4), the reaction mixture is,
representing the optimal block chain financial data information interaction method function,
in (1)
Indicating the block chain financial data information interaction change in the equilibrium state,
in (1)
Indicating the number of interactions of the different block link point data information,
the process of representing blockchain financial data information interaction is efficient,
representing the initial blockchain financial data information output,
indicating the block chain data information updating optimization algorithm process index coefficient,
representing the changing state of the block storing the financial data information with time,
and representing the financial data information interaction function of the block chain in an unbalanced state.
For the above data functions, the same letters are not repeatedly described.
The optimal block chain financial data information interaction process is analyzed, the superiority of the formulated process function is determined by comparing the effective rate difference under different states, and the effective rate difference function is as follows:
in the formula (5), the reaction mixture is,
a difference value representing a valid data update for the blockchain financial transaction,
the efficiency of block chain financial data information interaction in an equilibrium state is shown,
the interaction of blockchain financial data information indicating an under-balanced condition is efficient,
indicating the maximum amount of data updates allowed for the entire block in the blockchain network.
The Nash equalization algorithm can ensure that block chain data in the data storage module are continuously updated, which means that data interaction and data updating can be instantly carried out on financial block chain data information of different nodes, and the data information characteristic of sharing of different block chain data information is embodied, so that the distributed financial terminal can realize interaction through a block chain network, and the efficiency of block chain financial data information interaction is maximized. Utilizing in algorithms
And determining the validity of the information interaction of the block chain financial data by using a formula, thereby ensuring the operation reliability of the block chain data storage module. The financial data information interaction capacity is greatly improved.
In the above embodiment, the encryption module is an improved Blowfish encryption algorithm module, and the improved Blowfish encryption algorithm module includes an encryption unit, a block link point, and a decryption unit, where an output end of the encryption unit is connected to an input end of a block chain node, and an output end of the block chain node is connected to an input end of the decryption unit.
In the above embodiment, the encryption unit is provided with an early warning function and a clear function, the encryption unit encrypts the data information in the transmission process through a Blowfish encryption algorithm in the encryption process, when the encrypted data information meets risk data information, the early warning function is automatically started to prompt that risk occurs in the transmission process, when the early warning level reaches the set highest level, the clear function is automatically started, the high-risk financial data information in the transmission process is cleared, and the financial data information before clearing is returned in the original way.
In a specific embodiment, Blowfish is an algorithm by 64-bit grouping whose key can change its length, and this is a symmetric encryption algorithm that can quickly encrypt a 64-bit length string. The Blowfish encryption algorithm is capable of fast encryption and decryption and has a variable key length, which is well known for these characteristics. The whole operation process needs to be divided into two steps to encrypt and decrypt data by using a Blowfish encryption algorithm: the first step of the operation is to pre-process the key of the encryption algorithm, in the design of the Blowfish encryption algorithm, it provides the source keys-pbox and sbox of the Blowfish algorithm, the source keys-pbox and sbox provided are fixed, each user uses the same set of source keys-pbox and sbox.
Therefore, if it is desired to encrypt data, as shown in fig. 3, it is necessary to prepare an encryption key, and use this key in combination with the source keys-pbox and sbox to generate the sub-keys key _ pbox and key _ sbox. The second step is to encrypt the data by key _ pbox and key _ sbox. The encryption flow of the Blowfish encryption algorithm is shown in fig. 3. Since Blowfish is a symmetric encryption algorithm, the sub-keys key _ pbox and key _ sbox also need to be generated through key preprocessing during decryption, except that the order of encryption and decryption by using the sub-keys is reversed. In the Blowfish encryption algorithm, the length of the encryption key is uncertain, and the length of the encryption key can be changed, so that great convenience is brought to a user in designing the key, and great hidden danger is brought to data security. Since the Blowfish encryption algorithm is at the core of encryption and decryption in key selection and confidentiality, improvements in the selection and confidentiality of Blowfish encryption algorithm keys are needed.
As shown in fig. 4, user a needs to prepare the public keys of the Blowfish encryption algorithm, MD5 algorithm, and RSA encryption algorithm of user B to send data message M to user B, and prepare three tools to complete the next work. A user A sending end needs to encrypt an electronic file by using a Blowfish encryption algorithm to obtain a document ciphertext; encrypting the Blowfish encryption algorithm key through the RSA encryption algorithm public key received by the public network to obtain a Blowfish key ciphertext; and finally, the official document ciphertext is digitally signed through the MD5 algorithm, so that whether data transmission is complete or not can be verified, and the encrypted official document ciphertext can only be obtained even if the MD5 algorithm is cracked violently, so that the method still needs to be cracked, and the safety is high.
In the above embodiment, as shown in fig. 5, the operation method of the decryption unit is as follows:
decrypting the signature block by using the MD5 algorithm public key, comparing the ciphertext of the official document by using the hash function digest, if the sources are the same and no loophole is found, considering the file as complete without resending, if the MD5 algorithm public key can not realize data decryption, starting the RSA decryption algorithm to decrypt the data information of the file, and then outputting the secret key of the Blowfish encryption algorithm; and finally, decrypting the document ciphertext through the key of the Blowfish encryption algorithm, and outputting the decrypted electronic file M.
Although specific embodiments of the invention have been described herein, it will be understood by those skilled in the art that these embodiments are merely illustrative and that various omissions, substitutions and changes in the form and details of the methods and systems described may be made by those skilled in the art without departing from the spirit and scope of the invention. For example, it is within the scope of the present invention to combine the steps of the above-described methods to perform substantially the same function in substantially the same way to achieve substantially the same result. Accordingly, the scope of the invention is to be limited only by the following claims.
Claims (4)
1. A financial data information distributed transaction system based on block chain technology is characterized in that: the method comprises the following steps:
the financial data terminal generates various financial transaction data information in different areas or positions, is provided with a block chain node, and can realize interaction and application of different data information through the block chain node;
a data storage module; the data storage module comprises an HBASE + HIVE + SPARK storage module, a cloud database, a block chain interface, block chain nodes, a distributed data storage block and a search engine, wherein the HBASE + HIVE + SPARK storage module comprises an HBASE database, an HIVE database and a SPARK database, the output ends of the HBASE database, the cloud database, the HIVE database and the SPARK database are connected with block chain link points through the block chain interface, the block chain link points are connected with the distributed data storage block, and the search engine is arranged in the distributed data storage block;
a distributed data fusion module; the distributed data fusion module is used for realizing fusion of data information of different financial data terminals and summarizing and calculating data of different financial transaction data types, and is provided with a block chain node;
a block chain network; the financial data information is stored in the blocks as a data block chain consisting of a plurality of blocks, the financial data information is connected into chains according to the time sequence of the financial data information generated respectively, and the chains are stored in a block chain server to provide storage space and calculation support for the whole block chain system;
a block chain node; the server as an area is provided with a consensus mechanism, so that data connection of different financial data terminals can be realized;
an encryption module; the data encryption and data decryption of received data information can be realized during data transmission of the financial data terminal, and when the data meets danger in the transmission process, the data encryption and data decryption can be automatically early warned and the data information in the transmission process can be cleared;
the financial data terminal, the data storage module, the distributed data fusion module and the encryption module are arranged in a block chain network, the output end of the financial data terminal is connected with the input end of the data storage module, the output end of the data storage module is connected with the input end of the distributed data fusion module, and the output end of the distributed data fusion module is connected with the input end of the encryption module;
the method for realizing the storage of the data storage module comprises the following steps:
(1) receiving data information sent by a financial data terminal, writing the received data information in the data information, and calling a function to realize information interaction among different database information;
(2) reading financial data information, sending a calling function to data information of a block chain node by calling an open function at a distributed financial data terminal, and acquiring data block information of each distributed financial data terminal by the block chain node arranged in each database;
(3) storing financial data information, and calling a data program stored in a block chain;
the search engine is a Bayesian algorithm search engine or a K-means algorithm search engine or a combination of the Bayesian algorithm search engine and the K-means algorithm search engine, wherein the Bayesian algorithm search engine or the K-means algorithm search engine is provided with a block chain interface;
the distributed data fusion module comprises a block chain fusion interface, a fusion module and a Nash balance algorithm module, wherein the block chain fusion interface is used for receiving distributed data information through a block chain network, the fusion module is used for fusing different types of financial data information, and the Nash balance algorithm module is used for adjusting different storage modules to realize scheduling of different data information of the block chain;
the Nash equilibrium algorithm module realizes the equilibrium and adjustment of financial data information of different block chain nodes by the following method:
step one, setting a storage function of a data storage module, wherein the expression is as follows:
in the formula (1), the reaction mixture is,
a function representing the type of blockchain financial data stored by the data storage module,
is shown as
The individual blockchain storage nodes store the data information analysis rate,
indicating different types of block link point compatible transaction data information storage parameters,
representing the HBASE database data storage,
representing the HIVE database data store,
representing the data store of the SPARK database,
、
、
representing the function formulas of block chain storage information of an HBASE database, an HIVE database and an SPARK database,
the representation of the database is represented by a representation,
it is shown that the index of the database identifies,
indicates the data type of the HBASE database,
the type of data representing the HIVE database,
representing a data type of a SPARK database;
step two, adjusting the stored financial data information of the data storage module;
and carrying out Nash balance adjustment according to the parameters of the block chain for storing the financial data information in the data storage module, wherein an adjustment function is represented as:
in the formula (2), the reaction mixture is,
indicating an equalization value of the blockchain data within the zone storing the financial data information,
indicating the state of the block chain financial data information in the block of stored financial data information,
indicating the equalization speed of the blockchain financial data information schedule,
representing different types of blockchain storage parameters, n representing the number of blockchain storage parameters,
representing the number of blocks of the block chain;
a parameter representing a block chain data equalization value;
step three, adjusting block chain storage indexes and carrying out standardized processing;
after Nash equalization, the block chain financial data information storage index in the data storage module is standardized as follows:
the compound of the formula (3),
indicating the normalized blockchain storage index,
in
Expressed as a kind of block chain storage indicator,
in (1)
Expressed as the length of the block chain storage pointerDegree;
representing values in a data storage module having a blockchain input representation, wherein
In (1)
A symbol representing the data of the block chain,
in (1)
Representing the equalization speed of the blockchain financial data information schedule,
in (1)
Representing the scheduled data identity of the blockchain financial data information,
in (1)
A block chain storage node is represented as,
a data index representing the blockchain financial data information after storage,
a time difference representing when the financial transaction data information implements a schedule in the blockchain network;
step four, realizing the input and update of the financial data information of the block chain by an update optimization algorithm;
for the balanced block chain data storage module, if block chain financial data information interaction is carried out, optimization of block chain financial data information input and update needs to be guaranteed, and the balance is achieved
And (4) evaluating a function:
in the formula (4), the reaction mixture is,
representing the optimal block chain financial data information interaction method function,
in (1)
Indicating the block chain financial data information interaction change in the equilibrium state,
in (1)
Indicating the number of interactions of the different block link point data information,
the process of representing blockchain financial data information interaction is efficient,
representing the initial blockchain financial data information output,
indicating the process index coefficient of the block chain data information updating optimization algorithm,
representing the changing state of the block storing the financial data information with time,
representing a block chain financial data information interaction function in an unbalanced state;
the effective rate difference function is:
in the formula (5), the reaction mixture is,
a difference value representing a valid data update for the blockchain financial transaction,
the block chain financial data information interaction efficiency in the equilibrium state is represented,
the interaction of blockchain financial data information indicating an under-balanced condition is efficient,
representing the maximum amount of data updates allowed for the entire block in the blockchain network.
2. The distributed transaction system for financial data information based on blockchain technology as claimed in claim 1, wherein: the encryption module is an improved Blowfish encryption algorithm module, the improved Blowfish encryption algorithm module comprises an encryption unit, a block chain link point and a decryption unit, wherein the output end of the encryption unit is connected with the input end of a block chain node, and the output end of the block chain node is connected with the input end of the decryption unit.
3. The distributed transaction system for financial data information based on blockchain technology according to claim 2, wherein: the encryption unit is provided with an early warning function and a zero clearing function, the encryption unit encrypts data information in the transmission process through a Blowfish encryption algorithm in the encryption process, the early warning function is automatically started when the encrypted data information meets risk data information, the risk occurrence in the transmission process is prompted, the zero clearing function is automatically started when the early warning level reaches the set highest level, the high-risk financial data information in the transmission process is cleared, and the financial data information before being cleared is returned in an original way.
4. The distributed transaction system for financial data information based on blockchain technology according to claim 2, wherein: the working method of the decryption unit comprises the following steps:
decrypting the signature block by using the MD5 algorithm public key, comparing the ciphertext of the official document by using the hash function digest, if the sources are the same and no loophole is found, considering the file as complete without resending, if the MD5 algorithm public key can not realize data decryption, starting the RSA decryption algorithm to decrypt the data information of the file, and outputting the key of the Blowfish encryption algorithm; and finally, decrypting the document ciphertext through the key of the Blowfish encryption algorithm, and outputting the decrypted electronic file M.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111459461A (en) * | 2020-04-24 | 2020-07-28 | 上海积成能源科技有限公司 | Energy use right verification and transaction system and method based on Internet of things and block chain technology |
| CN111654364A (en) * | 2020-07-06 | 2020-09-11 | 重庆知翔科技有限公司 | Method for realizing data safety communication by using block chain encryption technology |
| CN111770190A (en) * | 2020-07-06 | 2020-10-13 | 夏正键 | Block chain distributed real-time fire fighting monitoring alarm system based on 5G and Internet of things mode |
| CN112905965A (en) * | 2021-02-01 | 2021-06-04 | 胡文旭 | Financial big data processing system based on block chain |
| CN113672992A (en) * | 2021-08-16 | 2021-11-19 | 成都民航空管科技发展有限公司 | Multi-source heterogeneous data safety protection and fusion method and system for global air traffic control operation |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106991164A (en) * | 2017-03-31 | 2017-07-28 | 北京京东金融科技控股有限公司 | Method, device and electronic equipment that finance data is handled are used for based on block chain |
| WO2019142049A1 (en) * | 2018-01-17 | 2019-07-25 | Geeq Corporation | Blockchain methods, nodes, systems and products |
| SG11202107662TA (en) * | 2019-01-18 | 2021-08-30 | Uppsala Pte Ltd | Apparatus and method for cybersecurity |
| US11880349B2 (en) * | 2019-04-30 | 2024-01-23 | Salesforce, Inc. | System or method to query or search a metadata driven distributed ledger or blockchain |
| CN111163178B (en) * | 2020-01-10 | 2021-03-30 | 中国地质大学（武汉） | Game theory-based service deployment and task unloading method in edge computing |
| CN113987543A (en) * | 2021-11-02 | 2022-01-28 | 北京中海闻达信息技术有限公司 | Online data monitoring method and device |
-
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111459461A (en) * | 2020-04-24 | 2020-07-28 | 上海积成能源科技有限公司 | Energy use right verification and transaction system and method based on Internet of things and block chain technology |
| CN111654364A (en) * | 2020-07-06 | 2020-09-11 | 重庆知翔科技有限公司 | Method for realizing data safety communication by using block chain encryption technology |
| CN111770190A (en) * | 2020-07-06 | 2020-10-13 | 夏正键 | Block chain distributed real-time fire fighting monitoring alarm system based on 5G and Internet of things mode |
| CN112905965A (en) * | 2021-02-01 | 2021-06-04 | 胡文旭 | Financial big data processing system based on block chain |
| CN113672992A (en) * | 2021-08-16 | 2021-11-19 | 成都民航空管科技发展有限公司 | Multi-source heterogeneous data safety protection and fusion method and system for global air traffic control operation |
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