CN111353925B - Block chain-based fraud prevention system and method - Google Patents
Block chain-based fraud prevention system and method Download PDFInfo
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- CN111353925B CN111353925B CN202010131100.3A CN202010131100A CN111353925B CN 111353925 B CN111353925 B CN 111353925B CN 202010131100 A CN202010131100 A CN 202010131100A CN 111353925 B CN111353925 B CN 111353925B
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Abstract
A system and method for preventing fraud based on block chain, the system includes a plurality of groups of participation mechanisms, the participation mechanism includes block chain node, prophetic machine node, authority module and biological feature collection equipment; the block chain link points and the block chain nodes of other participating mechanisms form a block chain network; the predictor node obtains networking addresses of the predictor nodes of other participating structures through the block chain network, and builds a predictor network according to the networking addresses; the biological characteristic information is consensus to a predictor network to carry out risk authentication voting, and a voting result is generated according to participation mechanisms of each predictor node voting; when the voting result is higher than a preset threshold value, outputting alarm information; the biological characteristic acquisition equipment acquires biological characteristic information of a user and uploads the biological characteristic information to a corresponding predictor node; the permission module is respectively connected with the predictor node and the biological characteristic acquisition equipment and is used for issuing risk coefficients of risk users through the predictor node according to preset permission of the current participating mechanism.
Description
Technical Field
The invention relates to a blockchain technology processing system, in particular to a blockchain-based fraud prevention system and a blockchain-based fraud prevention method.
Background
The blockchain technology has the characteristic of traceability and non-falsification through distributed computation and storage without depending on an additional third party management mechanism, and is commonly used for scenes such as virtual currency, certificate storage, audit management and the like. The biological identification technology is that a computer is tightly combined with optical, acoustic, biological sensors and other technological means, and the personal identification is realized by utilizing the inherent characteristics (sound, five sense organs, fingerprints and the like) of a human body.
Because internal information of law enforcement agency systems, banking systems, urban road monitoring systems, commercial agency systems, social public transportation systems and the like are not communicated, information of financial criminals is opaque and not shared among the institutions, and financial fraud is endless and difficult to solve. Aiming at a financial fraud scene, the invention combines a blockchain and a biological recognition technology, provides a blockchain-based fraud prevention system and a blockchain-based fraud prevention method, uses the biological recognition technology to collect and recognize characteristics of financial fraud attacks, uses the blockchain technology to record the recorded fraud attacks and suspects among institutions for sharing, on one hand, assists law enforcement institutions in solving a case, and on the other hand, reminds people to reduce victims before solving the case.
The existing systems of all institutions are not completely butted, a law enforcement institution is usually adopted to record relevant information of financial fraud criminals in own systems, then the relevant information is published in a webpage, news and other individuals and institutions need to actively acquire the relevant information if required, no relevant technical means is used for utilizing the information after criminal information is acquired, and most of the relevant suspects or financial fraud criminals need to be identified through human intervention. The traditional financial fraud case-breaking mode has the advantages that on one hand, related financial fraud information is not shared among institutions to cause case-breaking difficulty and insufficient information utilization, on the other hand, the case-breaking mode for identifying criminals by human intervention is low in efficiency and accuracy, and further life and property of related reporting persons are possibly threatened.
Disclosure of Invention
The invention aims to provide a blockchain-based fraud prevention system and a blockchain-based fraud prevention method, wherein each participating mechanism builds a blockchain system and is provided with biological characteristic acquisition equipment, on one hand, the nodes of a law enforcement mechanism manage financial fraud invar information, the information is shared among the nodes of other mechanisms and is used for identifying suspects, and finally, the suspects information is fed back to the law enforcement mechanism through intelligent contracts, and on the other hand, the potential risks of the suspects can be more comprehensively analyzed based on the information respectively mastered by each participating mechanism of the parties; the blockchain system solves the problems of endless financial fraud layers and more victims caused by the fact that information of financial fraud persons is not shared, and timely reminds potential victims of improving vigilance and being not fraudulent.
In order to achieve the above purpose, the invention provides a block chain-based fraud prevention system, which comprises a plurality of groups of participation mechanisms, wherein each participation mechanism comprises a block chain node, a predictor node, a permission module and biological characteristic acquisition equipment; the block chain nodes are used for forming a block chain network with the block chain nodes of other participating institutions; obtaining a networking address of a predictor node, and consensus the networking address to a block chain network; the predictor node is respectively connected with the block chain node and the biological characteristic equipment, and is used for obtaining networking addresses of the predictor nodes of other participating structures through the block chain network, and constructing a predictor network according to the networking addresses; the biological characteristic information acquired by the biological characteristic acquisition equipment is commonly known to the predictor network to carry out risk authentication voting, and a voting result is generated according to participation mechanisms of each predictor node voting; when the voting result is higher than a preset threshold value, outputting alarm information; or, receiving a voting request, comparing the biological characteristic information contained in the voting request with the biological characteristic information stored locally, generating a risk coefficient according to a comparison result and a preset authority, and issuing the risk coefficient; when the risk coefficient is higher than a preset threshold, outputting alarm information; the biological characteristic acquisition equipment is used for acquiring biological characteristic information of a user and uploading the biological characteristic information to the corresponding predictor node; the permission module is respectively connected with the predictor node and the biological characteristic acquisition equipment and is used for issuing risk coefficients of risk users through the predictor node according to preset permission of a current participating mechanism.
In the above blockchain-based fraud prevention system, preferably, the participating institutions include law enforcement institutions, financial institutions, transportation institutions, monitoring institutions, and commercial institutions; the biometric information comprises one or more of a fingerprint, a voiceprint, an iris, a portrait, a vein, or a combination thereof.
In the above blockchain-based fraud prevention system, preferably, when the participating institution is a law enforcement institution, the participating institution further includes a law enforcement module, where the law enforcement module is configured to obtain biometric information of the authenticated risk user through the biometric acquisition device; consensus biometric information of the authenticated risk user to the predictor network through the predictor node; and the biological characteristic information of the authenticated risk user and the signature information of the blockchain node of the current law enforcement agency are commonly recognized to the blockchain network through the blockchain link point.
In the above-mentioned blockchain-based fraud prevention system, preferably, the law enforcement module further includes a verification unit, where the verification unit is configured to obtain biometric information of a user corresponding to the alert information when any one of the predictor nodes in the predictor network outputs the alert information; obtaining corresponding user identity information according to the biological characteristic information; acquiring associated data of a corresponding user from a preset database according to the user identity information; and when the association data accords with a preset rule, updating the user identity information into an authentication risk user.
In the above-mentioned blockchain-based fraud prevention system, preferably, the blockchain node includes a biometric module, a networking module, a consensus module, and a contract module; the biological recognition module is used for providing a communication channel corresponding to the biological feature acquisition equipment for the blockchain node control of the current participating mechanism; the networking module is used for connecting networking modules of other blockchain nodes so that the blockchain nodes of all participating mechanisms form a blockchain network; the consensus module is used for completing transaction consensus processing with other block chain link points through a preset consensus algorithm, and packaging the transaction into blocks according to the consensus result; the contract module is used for executing and processing all transactions in the block in sequence.
The invention also provides a block chain-based fraud prevention method, which comprises the following steps: a blockchain network of blockchain node components through each participating mechanism; the predictor nodes which are connected with the block chain link points one to one obtain networking addresses of the predictor nodes of other participating structures through the block chain network, and the predictor network is built according to the networking addresses; the biological characteristic information of the user is collected by biological characteristic collection equipment which is connected with each prophetic machine node one to one, and the biological characteristic information is uploaded to the corresponding prophetic machine node; the predictor node commonly knows the biological characteristic information to the predictor network to perform risk authentication voting, and a voting result is generated according to participation mechanisms of each predictor node voting; or, receiving a voting request, comparing the biological characteristic information contained in the voting request with the biological characteristic information stored locally, generating a risk coefficient according to a comparison result and a preset authority, and issuing the risk coefficient; and outputting alarm information when the voting result or the risk coefficient is higher than a preset threshold value.
In the above blockchain-based fraud prevention method, preferably, the participating institutions include law enforcement institutions, financial institutions, transportation institutions, monitoring institutions, and commercial institutions; the biometric information comprises one or more of a fingerprint, a voiceprint, an iris, a portrait, a vein, or a combination thereof.
In the above blockchain-based fraud prevention method, preferably, when the participating entity is a law enforcement entity, the participating entity further includes: acquiring biological characteristic information of the authenticated risk user through the biological characteristic acquisition equipment; consensus biometric information of the authenticated risk user to the predictor network through the predictor node; and the biological characteristic information of the authenticated risk user and the signature information of the blockchain node of the current law enforcement agency are commonly recognized to the blockchain network through the blockchain link point.
In the above blockchain-based fraud prevention method, preferably, when the participating entity is a law enforcement entity, the participating entity further includes: when any one of the predictor nodes in the predictor network outputs alarm information, acquiring biological characteristic information of a user corresponding to the alarm information; obtaining corresponding user identity information according to the biological characteristic information; acquiring associated data of a corresponding user from a preset database according to the user identity information; and when the association data accords with a preset rule, updating the user identity information into an authentication risk user.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the above method when executing the computer program.
The present invention also provides a computer readable storage medium storing a computer program for executing the above method.
The beneficial technical effects of the invention are as follows: the blockchain nodes of the law enforcement agencies manage financial fraud violation information and the blockchain nodes of other agencies use fraud violation information, and furthermore, the blockchain nodes of the law enforcement agencies and other agencies jointly manage and share suspect information; the method organically combines the blockchain technology and the biological recognition technology, solves the problem of financial fraud caused by the fact that information of financial criminals is not shared and communicated, and reminds potential vices in time to improve vigilance and reduce fraud success rate.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate and together with the description serve to explain the invention. In the drawings:
FIG. 1A is a block chain based fraud prevention system according to one embodiment of the present invention;
FIG. 1B is a flowchart of a blockchain-based fraud prevention method according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a process for network initialization of a blockchain-based fraud prevention system according to an embodiment of the present invention;
FIG. 3 is a flowchart of a process for a law enforcement agency of a blockchain-based fraud prevention system to collect and record fraud information into a blockchain in accordance with an embodiment of the present invention;
FIG. 4 is a flow chart of a process for collecting, identifying and recording suspect information to a blockchain by all institutions of a blockchain-based fraud prevention system according to an embodiment of the present invention;
FIG. 5 is a flowchart of a process for a law enforcement agency of a blockchain-based fraud prevention system to update a record of suspects on blockchains and issue rewards to a presenter in accordance with one embodiment of the present invention;
FIG. 6 is a flow chart of a process for updating a biometric smart contract by an official biometric identification agency of a blockchain-based fraud prevention system in accordance with an embodiment of the present invention;
FIG. 7 is a block chain node block diagram according to one embodiment of the present invention;
fig. 8 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following will describe embodiments of the present invention in detail with reference to the drawings and examples, thereby solving the technical problems by applying technical means to the present invention, and realizing the technical effects can be fully understood and implemented accordingly. It should be noted that, as long as no conflict is formed, each embodiment of the present invention and each feature of each embodiment may be combined with each other, and the formed technical solutions are all within the protection scope of the present invention.
Additionally, the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that herein.
Referring to fig. 1A, the system for preventing fraud based on blockchain provided by the present invention includes a plurality of groups of participating mechanisms, where each participating mechanism includes a blockchain node 1, a predictor node 2, a permission module and a biological feature collection device 3; the block chain node 1 is used for forming a block chain network with the block chain nodes 1 of other participating mechanisms; obtaining a networking address of the predictor node 2, and consensus the networking address to a blockchain network; the predictor node 2 is respectively connected with the blockchain node 1 and the biological characteristic equipment 3, and is used for obtaining networking addresses of the predictor nodes 2 of other participating structures through a blockchain network, and constructing a predictor network according to the networking addresses; the biological characteristic information acquired by the biological characteristic acquisition equipment 3 is commonly known to the predictor network to carry out risk authentication voting, and a voting result is generated according to participation mechanisms of each predictor node voting; when the voting result is higher than a preset threshold value, outputting alarm information; or, receiving a voting request, comparing the biological characteristic information contained in the voting request with the biological characteristic information stored locally, generating a risk coefficient according to a comparison result and a preset authority, and issuing the risk coefficient; when the risk coefficient is higher than a preset threshold, outputting alarm information; the biological characteristic acquisition equipment is used for acquiring biological characteristic information of a user and uploading the biological characteristic information to the corresponding predictor node; the permission module is respectively connected with the predictor node and the biological characteristic acquisition equipment and is used for issuing risk coefficients of risk users through the predictor node according to preset permission of a current participating mechanism. Wherein the participating institutions include law enforcement institutions, financial institutions, transportation institutions, monitoring institutions, and commercial institutions; the biometric information comprises one or more of a fingerprint, a voiceprint, an iris, a portrait, a vein, or a combination thereof. All blockchain nodes 1 are connected with each other in a network, namely, the blockchain node 1 and the predictor node 2, the predictor node 2 and the biological characteristic collection device 3.
In the above embodiment, the blockchain node 1 refers to a node in the blockchain that performs the blockchain basic functions of processing a blockchain user request, completing transaction consensus, ordering and packaging transaction data, and managing intelligent contract nodes. The construction of the fraud prevention system includes a plurality of participants, such as law enforcement agencies in various locations, banks, urban road monitoring systems, commercial agency systems, social public transportation systems, etc., each participant maintaining at least one blockchain node in a one-to-one or one-to-many relationship with blockchain nodes. The predictor node 2 is a node for checking out-of-chain data acquired by an intelligent contract, and different predictor nodes form a predictor network, so that the predictor network ensures that the uplink data are real and effective and are commonly known through the network. It should be noted that if the biometric acquisition device in the network topology may support TCP/IP protocols, such as wifi, mobile operator networks, etc., or may not support TCP/IP protocols, such as Zigbee, bluetooth, etc., the predictor node needs to support multiple mainstream communication protocols, support a blockchain network, and other devices or network interconnections of different protocols. The biological characteristic collection device 3 is a combination of software and hardware for collecting biological characteristics such as fingerprints, voiceprints, irises, five sense organs, veins and the like, and converts the biological characteristics into data which can be analyzed and identified by a server for realizing personal identification. Each participant builds biological feature collection equipment locally, then intelligent contracts of biological identification related operation on the blockchain can be used for executing biological information collection through a predictor node by using the biological feature collection equipment, after collecting out-of-chain data, the acquired out-of-chain data is returned to the blockchain system after being checked through the predictor node, further analysis is carried out on the line through the intelligent contracts, finally biological features of fraud persons or suspected persons are recorded on the chain, and the information can be shared among all mechanisms in the blockchain system.
When the above embodiment is applied to the defense of financial fraud, the voting for the identity of the user can be classified into legal citizens, suspects and financial fraud offenders. Legal citizens, i.e. natural people without crime records, default to this state; financial fraudsters, i.e., natural persons recorded by law enforcement agencies as having a history of financial fraud crimes; a suspect, i.e., a natural person, is identified by other entities than law enforcement agencies as matching a financial fraud by biometric identification or the like. For this reason, a legitimate citizen is identified as the only one for a financial fraud: law enforcement agency intervention validation because law enforcement agency has authority and obligation to catch criminals; a legitimate citizen is identified as a suspect in two cases: first, law enforcement agency intervention confirmation and second, agency confirmation exceeding a certain number. The identification of both cases can be achieved through a block chain consensus mechanism; based on the situation, in one embodiment of the present invention, when the participating institution is a law enforcement institution, the participating institution further comprises a law enforcement module, where the law enforcement module is configured to obtain biometric information of the authenticated risk user through the biometric acquisition device; consensus biometric information of the authenticated risk user to the predictor network through the predictor node; the biological characteristic information of the authenticated risk user and the signature information of the blockchain node of the current law enforcement agency are commonly recognized to the blockchain network through the blockchain link point; specifically, the law enforcement module may further include a verification unit, where the verification unit is configured to obtain biometric information of a user corresponding to the alert information when any one of the predictor nodes in the predictor network outputs the alert information; obtaining corresponding user identity information according to the biological characteristic information; acquiring associated data of a corresponding user from a preset database according to the user identity information; and when the association data accords with a preset rule, updating the user identity information into an authentication risk user. Therefore, in actual work, law enforcement agencies can directly share corresponding biological characteristic information according to the determined information of fraud personnel, and can also further check and analyze according to alarm information in a blockchain network so as to prevent fish from leaking.
In an embodiment of the present invention, referring to fig. 7, the blockchain node 1 may include a biometric module 601, a networking module 602, a consensus module 603, and a contract module 604; the biometric module 601 is configured to provide a communication channel corresponding to the biometric acquisition device controlled by the blockchain node of the current participating mechanism; the networking module 602 is configured to connect networking modules of other blockchain nodes, so that the blockchain nodes of each participating mechanism form a blockchain network; the consensus module 603 is configured to complete transaction consensus processing with other block link points through a predetermined consensus algorithm, and package the transaction into blocks according to a consensus result; the contract module 604 is used to process all transactions within the block in order. Specifically, in actual operation, the blockchain node 1 may further include a storage module 605 and a reward module 606;
when the block chain node 1 is started, the biometric identification module 601 establishes connection with the biometric acquisition device 2, completes the initialization work related to the management of the biometric acquisition device, and completes related upgrading in cooperation with a biometric identification method.
The networking module 602 is a processing procedure of discovering and establishing communication connection after the blockchain node 1 in the network is started, and after networking is successful, the networking module can receive external transaction and execute transaction consensus processing for the consensus module 603.
The consensus module 603 is a logic device for transaction consensus processing, and judges the validity Of the transaction according to the business rule, and after the validity verification is passed, performs consensus processing on the transaction with other blockchain nodes 1 according to a agreed consensus algorithm, where the consensus algorithm may be POW (Proof Of Work), POS (Proof Of stock), DPOS (Delegated Proof Of Stake, delegated stock), PBFT (Practical Byzantine Fault Tolerance, practical bayer fault tolerance), and the like. Finally, the execution sequence of the transaction is determined according to the consensus result, the transaction is packed into blocks, and the blocks are submitted to the contract module 604 for execution. The invention uses two consensus rules in fig. 3 and 4, and the invention includes but is not limited to two consensus rules of 'financial fraud consensus' and 'suspected consensus'.
The contract module 604 is responsible for executing the transactions in the block in sequence, and the end of the transaction execution is processed by the data storage module 605. The intelligent contracts built in the present invention include, but are not limited to, several types of contracts for initializing biometric acquisition devices, contracts for recording biometric information of financial fraud, contracts for inquiring biometric information of financial fraud, contracts for comparing biometric information of financial fraud, contracts for updating the record of financial fraud, contracts for recording various types of information of suspects, contracts for inquiring record status of suspects, contracts for maintenance of binding relationship between organization id and bank account (optional), contracts for issuing rewards (optional), contracts for updating biometric identification method, and the like.
The storage module 605 is responsible for persistently storing the results of the execution of the transaction, i.e., each blockchain node 1 stores a shared ledger.
The rewards module 606 is responsible for interconnecting with the financial processing system of the relevant financial institution, and triggers the financial processing system of the financial institution to complete the relevant process of issuing rewards to the reporter.
Referring to fig. 1B, the present invention further provides a blockchain-based fraud prevention method, which includes: s1001, a blockchain network is assembled through the blockchain nodes of each participating mechanism; s1002, the predictor nodes which are connected with the chain link points of each block in one-to-one mode acquire networking addresses of the predictor nodes of other participating structures through the block chain network, and the predictor network is built according to the networking addresses; s1003, biological characteristic information of a user is collected by biological characteristic collection equipment which is connected with each prophetic machine node one to one, and the biological characteristic information is uploaded to the corresponding prophetic machine node; S1004A, the predictor node consensus the biological characteristic information to the predictor network to perform risk authentication voting, and generating a voting result according to participation mechanisms of each predictor node voting; or, S1004B receives a voting request, compares the biometric information contained in the voting request with the biometric information stored locally, and generates and issues a risk coefficient according to the comparison result and a preset authority; s1005, when the voting result or the risk coefficient is higher than a preset threshold value, outputting alarm information. Wherein the participating institutions include law enforcement institutions, financial institutions, transportation institutions, monitoring institutions, and commercial institutions; the biometric information comprises one or more of a fingerprint, a voiceprint, an iris, a portrait, a vein, or a combination thereof.
In an embodiment of the present invention, a process flow of network initialization of the blockchain-based fraud prevention method, specifically please refer to fig. 2, includes:
step S101: the facility blockchain nodes and other facility blockchain links form a blockchain network.
Step S102: after the block chain nodes are successfully networked, each organization block chain node deploys several intelligent contracts. The general organization mainly uses contracts for initializing biological characteristic collection equipment, contracts for recording various information of suspects, contracts for inquiring record states of suspects, contracts for inquiring biological information of financial fraud, contracts (optional) for comparing and maintaining binding relation between a mechanism id and a bank account and the like, and law enforcement institutions use contracts for recording biological information of financial fraud and contracts for updating record states of financial fraud in addition to the contracts. The binding relationship between the organization id and the bank account belongs to private data, and a data isolation technology can be used, and other organizations except for law enforcement organizations, financial institutions and decryption keys of the organization id and the bank account relationship are not decrypted, so that the plaintext of the organization id and the bank account relationship cannot be seen.
Step S103: the organization foresees that the machine node initializes and registers information to the block chain node of the organization.
Step S104: the block chain node of the mechanism initiates the consensus, the block chain network consensus calls the intelligent contract to record the registration information of the predictor node after passing, and finally replies the networking addresses of the predictor nodes of other mechanisms in the network to the predictor node.
Step S105: the predictor node of the mechanism constructs a predictor network according to the networking address and the predictor nodes of other mechanisms.
Step S106: the biometric acquisition device of the facility initiates and initiates a registration request to the predictor node of the facility.
Step S107: the node of the predictor of the mechanism initiates consensus, records registration information of the biological feature acquisition equipment after the network consensus of the predictor passes, and returns a result to the biological feature acquisition equipment.
In an embodiment of the present invention, the blockchain-based fraud prevention method provided by the present invention may further include: when the participating institution is a law enforcement institution, the participating institution further includes: acquiring biological characteristic information of the authenticated risk user through the biological characteristic acquisition equipment; consensus biometric information of the authenticated risk user to the predictor network through the predictor node; and the biological characteristic information of the authenticated risk user and the signature information of the blockchain node of the current law enforcement agency are commonly recognized to the blockchain network through the blockchain link point. Further, on the basis, when any one of the predictor nodes in the predictor network outputs alarm information, the biometric information of the user corresponding to the alarm information can be obtained; obtaining corresponding user identity information according to the biological characteristic information; acquiring associated data of a corresponding user from a preset database according to the user identity information; and when the association data accords with a preset rule, updating the user identity information into an authentication risk user. In actual operation, the application method of the above embodiment is as follows:
Referring to fig. 3, in the blockchain-based fraud prevention method provided by the present invention, when the participating entity is a law enforcement entity, the processing flow of collecting and recording the information of the fraudulence to the blockchain is as follows:
step S201: the law enforcement agency block link point executes a contract for recording the biological information of the financial fraud violations, and the contract triggers the agency predictor node to execute an off-chain data acquisition process.
Step S202: the law enforcement agency predicts the machine node and judges whether the contract function has legal registered biological characteristic acquisition equipment, if yes, the corresponding biological characteristic acquisition equipment is triggered to acquire out-of-chain data.
Step S203: the biometric collection device of the law enforcement agency is responsible for collecting the biometric information of the financial fraud and returning it to the predictor node.
Step S204: the forerunner node of the law enforcement agency verifies that the data is safe and reliable and then initiates a consensus in the forerunner network. And after the consensus is successful, returning the information of the financial fraud invar to the block chain node of the organization.
Step S205: the block link points of the law enforcement agency acquire data, initiating a block chain network consensus. The fraud invagination message contains information such as the block chain node ID for initiating the consensus, the collected biological characteristic data of the financial fraud invagination, the signature and the like.
One implementation of the financial fraud consensus may be: the blockchain nodes of each organization verify the validity of the signature in the fraud consensus message, thereby confirming that the message is not tampered, and if the signature legal voting consensus is successful. And counting consensus voting results by the block chain nodes of all institutions, and recording biological information of related financial fraud persons on the block chain for other institutions to inquire when the number of institutions exceeding the minimum number in the network vote and agree on the consensus according to the preset minimum number of agreeing institutions, and continuing to execute intelligent contracts. Otherwise, the consensus fails, the intelligent contract terminates execution and returns an error report.
if (num (vot (QZF _rsp_set [ txid ])) = true) > consent mechanism minimum number
The consensus is successful, the fraudster biometric information is recorded, and the intelligent contract continues to execute.
else
The consensus fails, the intelligent contract terminates execution and returns an error report.
The data structure of the finance fraud information store may be as follows, but is not limited to, the following table 1 format:
TABLE 1
Referring to fig. 4, in an embodiment of the present invention, a specific process for sharing biometric information of a financial fraud invar and various kinds of information of a suspect between participating institutions may include the following steps:
step S301: each organization block chain node periodically collects various information of people from and to the group through intelligent contracts, and the contracts trigger the organization predictor node to conduct an off-chain data collection flow.
Step S302: the predictor node finds registered biological characteristic acquisition equipment and triggers the equipment to acquire data.
Step S303: the biological characteristic collection equipment is responsible for collecting biological characteristics, time, place and snapshot of any natural person in the people in the coming and going crowd in real time, and then signing the collected information to obtain signature fields, and replying to the predictor node. The format of collecting natural person information may be as follows, but is not limited to, the following table 2 format:
TABLE 2
Step S304: and checking data by the predictor node, and triggering the predictor network consensus after checking and checking the signature. In the consensus process, the predictor nodes of other institutions in the network trigger data acquisition on the same natural human biological characteristics, the acquired data are temporarily cached in the predictor nodes of the institutions, and the predictor nodes perform consensus voting on the results of the initiating institutions according to the acquisition results. And after the consensus is successful, returning natural person information to the block chain node of the mechanism, otherwise, reporting errors and returning.
Step S305: the blockchain nodes compare the biological characteristics of the people and the financial fraud invar through intelligent contracts, the biological characteristic data of the financial fraud invar is obtained by inquiring the bottom layer record of the blockchain, and the natural characteristic data of the people is obtained by the previous steps in real time. The smart contract performs a confirmation of the collected biometric data, and the method of the one-time confirmation may be one of the common biometric methods in industry, including but not limited to fingerprint recognition, face recognition, voiceprint recognition, iris recognition, vein recognition, etc. The biological recognition method used for one-time confirmation requires high execution speed and relatively accurate execution results, so that the block chain nodes of the whole network can achieve relatively quick consensus on suspects and relatively accurate consensus results.
Step S306: the intelligent contract preliminarily judges whether the suspects are fraud attacks according to the comparison result, if so, the suspects start the consensus of the blockchain nodes to the suspects, and the suspects consensus message comprises the blockchain node ID for starting the consensus, the suspects biological characteristic data, the signature and the like.
One implementation of suspicion consensus may be: and each mechanism block chain node performs signature verification on the suspected person consensus message, acquires and cleans the biological characteristics of the mechanism predictor node cached in S304 after the signature verification passes, judges the matching degree of the biological characteristics cached in the mechanism and the biological characteristics in the suspected person consensus message, and performs consensus voting. After all the block chain link point votes are completed, counting consensus voting results, and considering consensus to be successful when more than the minimum number of the entities in the network vote or law enforcement entities vote according to the preset minimum number of agreeing mechanisms. After the consensus is successful, the suspect information is returned to the intelligent contract, and the S307 is executed, and the intelligent contract execution is directly exited after the consensus is failed.
Failure of consensus, return to report error; the smart contract terminates execution.
Step S307: the blockchain node records various information of the suspects through intelligent contracts, including but not limited to biological information of the suspects, address information, time information, snapshot information and mechanism id (for return visit) of uploading data. In order to protect the privacy and security of the reporting mechanism, the mechanism id of the uploading data is encrypted data, and only law enforcement mechanisms, the mechanism uploading the data and financial institutions are visible, and plaintext cannot be resolved after encryption of other mechanisms. The biological information, address information, time information and snapshot information of the suspect are public, and can be seen by any mechanism. Taking the example that the uploading mechanism is the blockchain node vp0, the encryption key key_vp0 is stored locally in vp0, the decryption key is stored in vp0, the financial institution and the law enforcement agency, and the data structure of the suspect information storage can be as follows but is not limited to the following table 3 format:
TABLE 3 Table 3
The information of the fraudsters is obtained by law enforcement agencies more singly; therefore, the invention further includes an implementation method for supplementing suspect data by using the blockchain network, and further, the invention can also rewards based on the report information provided by the report person, please refer to fig. 5, and in actual work, when the participating mechanism in the blockchain-based fraud prevention method provided by the invention includes law enforcement institutions and banking systems, the specific steps are as follows:
step S401: law enforcement agencies regularly query suspects for various information through intelligent contracts.
Step S402: and performing intervention of law enforcement authorities, and performing secondary confirmation on incremental suspects according to time, addresses, snapshot information and biological characteristic information, so as to further increase the accuracy of suspects. ( The secondary confirmation method herein is different from the above primary confirmation, and uses a combination of biometric comparison algorithms (multi-modal biometric recognition) based on the previously recorded biometric information, including but not limited to various biometric technologies such as fingerprint recognition, face recognition, voiceprint recognition, iris recognition, vein recognition, and the like. Thus, the secondary validation may be more accurate than the primary validation, and the secondary validation may be performed by law enforcement authorities with more authoritative recognition results. )
Step S403: if the second confirmation is made is a financial fraud partner, S404 is executed, otherwise S406 is executed.
Step S404: the law enforcement agency updates the record state of the suspect to capture and implement offline capture through the intelligent contracts, and blockchain nodes of other institutions can inquire the relevant state of the suspect or receive push information of state change through the relevant intelligent contracts.
Step S405: if capturing is completed, the law enforcement agency updates the recorded state of the suspect to captured through the intelligent contract, and the blockchain nodes of other institutions can inquire the related state of the suspect or receive push information of state change through the related intelligent contract.
Step S406: the law enforcement agency updates the record state of the suspect into misjudgment through the intelligent contract, and the blockchain nodes of other institutions can inquire the related state of the suspect or receive push information of state change through the related intelligent contract.
Step S407: if the rewarding requirement is concerned, the law enforcement agency issues rewards to the agency contributing the suspicion information, S409 is executed, and if the rewarding requirement is not concerned, the ending process is directly exited.
Step S408: the law enforcement agency executes the transaction of issuing rewards through intelligent contracts, the contracts firstly inquire bank accounts corresponding to the law enforcement agency and rewarded institutions, and then the corresponding bank account processing systems (or the Union) are accessed out of the chain to initiate transfer instructions.
Step S409: the bank account processing system receives a transfer instruction, wherein the transfer instruction comprises a law enforcement agency account and a return visitor account. And confirming whether the law enforcement agency account or the interview person account is the legal account of the present authority and is normal, if so, executing S411, otherwise, returning an error.
Step S410: the banking system performs internal accounting and returns the result.
Step S411: if the debit and/or credit banking system execution of the transfer instruction fails, the blockchain intelligent contract initiates corresponding debit and/or credit account rollback processing.
Step S412: and (3) confirming whether the account rollback account is a legal account of the present line and the state is normal, if the account of the present line is related, executing S413, otherwise, returning an error.
Step S413: the banking system performs internal accounting and returns the result.
Referring to fig. 6, the blockchain-based fraud prevention method provided by the present invention further includes a process flow for updating the biometric intelligent contract by an industrial information institution such as a law enforcement institution, specifically including:
step S501: and the blockchain nodes of the official biological characteristic recognition mechanism analyze the identification accuracy of the suspects offline according to the recorded data of the suspects on the chain.
Step S502: the blockchain node periodically upgrades and compares intelligent contracts related to biological characteristics of people and financial fraud violations, and the accuracy of the biological characteristic identification contracts on the blockchain system is continuously improved.
Step S503: the blockchain nodes of other institutions execute smart contracts that update biometric methods.
Step S504: the software of the biometric acquisition device is selectively updated as needed. It should be noted that before confirming the upgrade contract, it is necessary to evaluate whether the hardware of the biometric acquisition device needs to be upgraded, and if the hardware needs to be upgraded, the hardware is upgraded first.
The beneficial technical effects of the invention are as follows: the blockchain nodes of the law enforcement agencies manage financial fraud violation information and the blockchain nodes of other agencies use fraud violation information, and furthermore, the blockchain nodes of the law enforcement agencies and other agencies jointly manage and share suspect information; the method organically combines the blockchain technology and the biological recognition technology, solves the problem of financial fraud caused by the fact that information of financial criminals is not shared and communicated, and reminds potential vices in time to improve vigilance and reduce fraud success rate.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the above method when executing the computer program.
The present invention also provides a computer readable storage medium storing a computer program for executing the above method.
As shown in fig. 8, the electronic device 600 may further include: a communication module 110, an input unit 120, an audio processing unit 130, a display 160, a power supply 170. It is noted that the electronic device 600 need not include all of the components shown in fig. 8; in addition, the electronic device 600 may further include components not shown in fig. 8, to which reference is made to the related art.
As shown in fig. 8, the central processor 100, also sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, which central processor 100 receives inputs and controls the operation of the various components of the electronic device 600.
The memory 140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information about failure may be stored, and a program for executing the information may be stored. And the central processor 100 can execute the program stored in the memory 140 to realize information storage or processing, etc.
The input unit 120 provides an input to the central processor 100. The input unit 120 is, for example, a key or a touch input device. The power supply 170 is used to provide power to the electronic device 600. The display 160 is used for displaying display objects such as images and characters. The display may be, for example, but not limited to, an LCD display.
The memory 140 may be a solid state memory such as Read Only Memory (ROM), random Access Memory (RAM), SIM card, or the like. But also a memory which holds information even when powered down, can be selectively erased and provided with further data, an example of which is sometimes referred to as EPROM or the like. Memory 140 may also be some other type of device. Memory 140 includes a buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application/function storage 142, the application/function storage 142 for storing application programs and function programs or a flow for executing operations of the electronic device 600 by the central processor 100.
The memory 140 may also include a data store 143, the data store 143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by the electronic device. The driver storage 144 of the memory 140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, address book applications, etc.).
The communication module 110 is a transmitter/receiver 110 that transmits and receives signals via an antenna 111. A communication module (transmitter/receiver) 110 is coupled to the central processor 100 to provide an input signal and receive an output signal, which may be the same as in the case of a conventional mobile communication terminal.
Based on different communication technologies, a plurality of communication modules 110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, etc., may be provided in the same electronic device. The communication module (transmitter/receiver) 110 is also coupled to a speaker 131 and a microphone 132 via an audio processor 130 to provide audio output via the speaker 131 and to receive audio input from the microphone 132 to implement usual telecommunication functions. The audio processor 130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 130 is also coupled to the central processor 100 so that sound can be recorded locally through the microphone 132 and so that sound stored locally can be played through the speaker 131.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (11)
1. A blockchain-based fraud prevention system, comprising a plurality of groups of participating mechanisms, wherein the participating mechanisms comprise blockchain nodes, prophetic nodes, entitlement modules and biometric acquisition devices;
the block chain nodes are used for forming a block chain network with the block chain nodes of other participating institutions; obtaining a networking address of a predictor node, and consensus the networking address to a block chain network;
The predictor node is respectively connected with the block chain node and the biological characteristic equipment, and is used for obtaining networking addresses of the predictor nodes of other participating structures through the block chain network, and constructing a predictor network according to the networking addresses; the biological characteristic information acquired by the biological characteristic acquisition equipment is commonly known to the predictor network to carry out risk authentication voting, and a voting result is generated according to participation mechanisms of each predictor node voting; when the voting result is higher than a preset threshold value, outputting alarm information; or, receiving a voting request, comparing the biological characteristic information contained in the voting request with the biological characteristic information stored locally, generating a risk coefficient according to a comparison result and a preset authority, and issuing the risk coefficient; when the risk coefficient is higher than a preset threshold, outputting alarm information;
the biological characteristic acquisition equipment is used for acquiring biological characteristic information of a user and uploading the biological characteristic information to the corresponding predictor node;
the permission module is respectively connected with the predictor node and the biological characteristic acquisition equipment and is used for issuing risk coefficients of risk users through the predictor node according to preset permission of a current participating mechanism.
2. The blockchain-based fraud prevention system of claim 1, wherein the participating institutions include law enforcement institutions, financial institutions, transportation institutions, monitoring institutions, and commercial institutions; the biometric information comprises one or more of a fingerprint, a voiceprint, an iris, a portrait, a vein, or a combination thereof.
3. The blockchain-based fraud prevention system of claim 1, wherein when the participating institution is a law enforcement institution, the participating institution further comprises a law enforcement module for acquiring biometric information authenticating a risk user through the biometric acquisition device; consensus biometric information of the authenticated risk user to the predictor network through the predictor node; and the biological characteristic information of the authenticated risk user and the signature information of the blockchain node of the current law enforcement agency are commonly recognized to the blockchain network through the blockchain link point.
4. A blockchain-based fraud prevention system as defined in claim 3, wherein the law enforcement module further comprises a verification unit for acquiring biometric information of a user corresponding to the alert information when any one of the predictor nodes in the predictor network outputs the alert information; obtaining corresponding user identity information according to the biological characteristic information; acquiring associated data of a corresponding user from a preset database according to the user identity information; and when the association data accords with a preset rule, updating the user identity information into an authentication risk user.
5. The blockchain-based fraud prevention system of claim 1, wherein the blockchain node includes a biometric module, a networking module, a consensus module, and a contract module;
the biological recognition module is used for providing a communication channel corresponding to the biological feature acquisition equipment for the blockchain node control of the current participating mechanism;
the networking module is used for connecting networking modules of other blockchain nodes so that the blockchain nodes of all participating mechanisms form a blockchain network;
the consensus module is used for completing transaction consensus processing with other block chain link points through a preset consensus algorithm, and packaging the transaction into blocks according to the consensus result;
the contract module is used for executing and processing all transactions in the block in sequence.
6. A blockchain-based fraud prevention method, the method comprising:
constructing a blockchain network through blockchain nodes of each participating mechanism;
the predictor nodes which are connected with the block chain link points one to one obtain networking addresses of the predictor nodes of other participating structures through the block chain network, and the predictor network is built according to the networking addresses;
the biological characteristic information of the user is collected by biological characteristic collection equipment which is connected with each prophetic machine node one to one, and the biological characteristic information is uploaded to the corresponding prophetic machine node;
The predictor node commonly knows the biological characteristic information to the predictor network to perform risk authentication voting, and a voting result is generated according to participation mechanisms of each predictor node voting; or, receiving a voting request, comparing the biological characteristic information contained in the voting request with the biological characteristic information stored locally, generating a risk coefficient according to a comparison result and a preset authority, and issuing the risk coefficient;
and outputting alarm information when the voting result or the risk coefficient is higher than a preset threshold value.
7. The blockchain-based fraud prevention method of claim 6, wherein the participating institutions include law enforcement institutions, financial institutions, transportation institutions, monitoring institutions, and commercial institutions; the biometric information comprises one or more of a fingerprint, a voiceprint, an iris, a portrait, a vein, or a combination thereof.
8. The blockchain-based fraud prevention method of claim 6, wherein when the participating entity is a law enforcement entity, the participating entity further comprises:
acquiring biological characteristic information of the authenticated risk user through the biological characteristic acquisition equipment;
consensus biometric information of the authenticated risk user to the predictor network through the predictor node;
And the biological characteristic information of the authenticated risk user and the signature information of the blockchain node of the current law enforcement agency are commonly recognized to the blockchain network through the blockchain link point.
9. The blockchain-based fraud prevention method of claim 8, wherein when the participating entity is a law enforcement entity, the participating entity further comprises:
when any one of the predictor nodes in the predictor network outputs alarm information, acquiring biological characteristic information of a user corresponding to the alarm information;
obtaining corresponding user identity information according to the biological characteristic information;
acquiring associated data of a corresponding user from a preset database according to the user identity information;
and when the association data accords with a preset rule, updating the user identity information into an authentication risk user.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 6 to 9 when executing the computer program.
11. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program for executing the method of any one of claims 6 to 9.
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| CN112700333B (en) * | 2021-01-11 | 2023-10-03 | 东北大学 | Electronic archive consensus method based on block chain |
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