CN113645295A - Block chain network security setting method based on Paxos algorithm - Google Patents

Abstract

The invention relates to the technical field of network security, in particular to a block chain network security setting method based on Paxos algorithm, comprising the following steps: S1: periodically generate a master node based on the Paxos algorithm; S2: generate a master node information in S1 into a sequence, and execute a consensus algorithm; S3: parse and process the sequence; S4: the same operation sequence, a consistent state is obtained; S5: the series of tasks ends, return to the initial state. In the present invention, a total server platform and multiple blockchain computers form a distributed system. In a distributed database system, the big data collection module collects big data and transmits it to the network security module through the big data output module. Based on Paxos The algorithm periodically generates a master node, and each node generates the same sequence of operations, so they can finally get a consistent state, otherwise the network will not be enabled, so the security of the network can be effectively guaranteed.

Description

A security setting method of blockchain network based on Paxos algorithm

technical field

The invention relates to a network security setting method, in particular to a block chain network security setting method based on Paxos algorithm, and belongs to the technical field of network security.

Background technique

From the perspective of network operation and administrators, it is hoped that operations such as access, reading and writing of local network information will be protected and controlled to avoid "trapdoors", viruses, illegal access, denial of service, and illegal occupation and control of network resources. Threat, stop and defend against cyber hacker attacks. For security and confidentiality departments, they hope to filter and prevent illegal, harmful or state secret information, avoid confidential information leakage, and avoid harm to society. The country caused huge losses.

With the rapid development of computer technology, the business processed on the computer has also developed from the mathematical operation and file processing based on a single machine, the internal business processing and office automation based on the simple connection of the internal network to the complex internal network (Intranet), Enterprise extranet (Extranet), global Internet (Internet) enterprise-level computer processing system and worldwide information sharing and business processing.

While the processing capability of the system is improved, the connection capability of the system is also continuously improved. However, while the connection capability information and circulation capability are improved, the security issues based on network connection are becoming increasingly prominent. The physical security of the network, the security of network topology, Problems such as network system security, application system security, and network management security are also becoming increasingly prominent. The traditional method is to perform multiple encryptions, and criminals will crack them one by one, which cannot effectively guarantee the security of the network.

Therefore, it is urgent to improve the security setting method of the blockchain network to solve the above problems.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a block chain network security setting method based on Paxos algorithm, a total server platform and a plurality of block chain computers form a distributed system, in a distributed database system, each block chain computer The initial state is the same, the big data collection module collects big data and transmits it to the network security module through the big data output module. Based on the Paxos algorithm, a master node is generated periodically, and each node generates the same sequence of operations, then they can finally get a Consistent state, otherwise the network will not be enabled, so the security of the network can be effectively guaranteed.

In order to achieve the above-mentioned purpose, the main technical scheme adopted in the present invention includes:

A block chain network security setting method based on Paxos algorithm, comprising a total server platform and several block chain computers connected with the total server platform, the total server platform is provided with a data processing module inside, the The blockchain computer includes a big data management module, a big data acquisition module, a big data distribution module, a big data output module, and a network security module. The big data management module, the big data acquisition module, and the big data distribution module The module, the big data output module and the network security module are connected in sequence, the output end of the network security module establishes a communication connection with the blockchain computer, and the network security module is used for the blockchain computer. The master node is provided and transmitted to the total server platform, and the specific setting method includes the following steps;

S1: The big data collection module in each blockchain computer collects big data and transmits it to the network security module through the big data output module, and then the Paxos algorithm inside the network security module periodically Generate a master node;

S2: The big data management module is then responsible for generating a sequence of the master node information in S1, pushing the sequence to the blockchain computer through the network security module, and executing a consensus algorithm on a sequence;

S3: The total server platform will sequentially receive sequences from several blockchain computers, and several blockchain computers will sequentially transmit the sequences to the data processing module. The sequence is parsed and processed;

S4: If each of the blockchain computers performs the same sequence of operations, a consistent state is obtained;

S5: The series of tasks ends, returns to the initial state, and waits for the next consistency based on the Paxos algorithm;

Through the above technical solutions, the total server platform and several blockchain computers connected to the total server platform form a distributed system with a total server platform and multiple blockchain computers. In a distributed database system, If the initial state of each blockchain computer is consistent, the big data acquisition module in each blockchain computer collects the big data and transmits it to the network security module through the big data output module, and then the Paxos algorithm inside the network security module generates a regular The master node, each node generates the same sequence of operations, then they can finally get a consistent state;

In order to ensure that each node executes the same sequence of commands, a consensus algorithm needs to be executed on the blockchain computer to ensure that the instructions seen by each blockchain computer are consistent;

A general consensus algorithm can be applied in many scenarios and is an important issue in distributed computing. Paxos algorithm can be used when multiple processes need to reach a certain consensus. After the consensus algorithm reaches the consistency, the blockchain computer can be started to achieve the security protection of the entire network and improve the network security of users.

Preferably, the Paxos algorithm is used to ensure that the blockchain computers can be consistent. In Paxos, each Paxos algorithm needs to select a round of master nodes, and generate a sequence as a consensus algorithm.

Preferably, in Paxos, each Paxos Instance needs to perform one or more rounds of Prepare->Promise->Propose->Accept such a complete two-stage request process to complete the selection of a proposed value. In order to ensure correctness To improve the performance of the algorithm as much as possible under the premise of stability, multiple Instances can share a set of sequence number allocation mechanism, and combine Prepare->Promise into one stage. The specific methods are as follows:

When a replica node becomes a Master through election, it will use the newly allocated number N to broadcast a Prepare message, which will be shared by all instances that have not reached an agreement and instances that have not yet started;

When the Acceptor receives the Prepare message, it must respond to multiple Instances at the same time. This can usually be achieved by encapsulating the feedback information in a data packet. Assuming that at most K Instances are allowed to select the proposed value at the same time, then:

At present, there are as many K Instances that have not reached an agreement, and the proposed values finally accepted by these pending Instances are encapsulated into a data packet and returned as a Promise message;

At the same time, judge whether N is greater than the highestPromisedNum value of the current Acceptor (the maximum proposal number value that has been accepted currently), if it is greater than, then mark the highestPromisedNum value of these pending Instances and all future Instances is N, in this way, these pending Instances Instance and all future Instances can no longer accept any proposal with a number less than N;

The Master performs the processing of the Propose->Accept phase on all pending Instances and all future Instances respectively. If the Master can run stably all the time, then in the next algorithm running process, the Prepare->Promise processing is no longer required. However, once the Master finds that the Acceptor has returned a Reject message, indicating that there is another Master in the cluster and trying to send a Prepare message with a larger proposal number, the current Master needs to reassign a new proposal number and prepare again-Prepare- >Promise phase processing.

Preferably, one or more rounds of selection of a complete sequence such as Prepare->Promise->Propose->Accept, the algorithm selection is based on the formula:

MasterPrepare=max((T+t)/t);

Where T is the sequence generation waiting time, and t is the sequence transmission processing time.

Preferably, the Master performs the processing of the Propose->Accept stage on all pending Instances and all future Instances respectively, and the total algorithm is as follows:

MasterAccept=(N*n+I*K+P)/(N+K+P);

Among them, N is the number of the generated sequence, n is the number of generated numbers, I is the generated sequence of Instances, K is the number of generated Instances, and P is the sequence with normal performance indicators.

Preferably, the network security module includes a detection unit, an encryption unit and a decryption unit, and the detection unit establishes a communication connection with the big data management module and the input end of the big data acquisition module;

The above technical solution is used to detect and encrypt the sequence sent by the user. Once the detection unit finds an abnormality, an abnormal sequence will appear, so the user's computer cannot be started. After the detection unit detects that there is no abnormality, the encryption unit encrypts the sequence. In order to ensure the consistency of the sequence, after multiple consensus algorithms are agreed, the computer can be started to improve the security of computer use, and the key of the encryption unit is generated by the pseudo-random number generator, and the pseudo-random number generator generates a random number sequence {K _n }, the generation method of the pseudo-random number sequence {K _n }, including the following steps:

Step (A), let the vector sequence {S ⁿ } be,

为向量序列{Sⁿ}的第i个分量，i的范围为0≤i≤14，初始向量S⁰为，in,

is the ith component of the vector sequence {S ⁿ }, the range of i is 0≤i≤14, and the initial vector S ⁰ is,

S ⁰ =[65535,0,0,65535,0,65535,0,65535,0,0,0,0,0,0,0], mod is the modulo operation, b=65536;

Step (B), let the sequence R _n be,

Step (C), let the sequence T _n be,

Step (D), XOR the sequence R _n and the sequence T _n bitwise, the sequence {K1 _n } is,

为按位异或运算；where n∈Z and n≥0, Z is the integer field,

is a bitwise XOR operation;

In step (E), the sequence R _n and the sequence T _n are bitwise ORed, and the sequence {K2 _n } is,

K2 _n =R _n |T _n

where n∈Z and n≥0, Z is the integer field, | is the bitwise OR operation;

Step (F), bitwise AND the sequence {K1 _n } and the sequence {K2 _n } to obtain the pseudo-random number sequence {K _n } bits,

K _n =K1 _n &K2 _n

Where n∈Z and n≥0, Z is the integer field, & is the bitwise AND operation.

Preferably, the node includes a timing module and a detection module, the timing module is used to start a timer to start timing, and the detection module is used to detect the node.

Preferably, when the blockchain computer and the total server platform are synchronously connected, the blockchain computer first obtains the consensus algorithm;

Through the above technical solutions, and then through the above processing, the network can be started only after the processing reaches a consensus, so the security of the network can be fully guaranteed.

Preferably, the network security module establishes a communication connection with the data processing module, and the data processing module is configured to detect whether the consistency algorithms of several of the network security modules are consistent.

Preferably, after the master node sets the latest state information as the current state information of the master node, the current state information of the master node is used as the master node state information, and a sequence is generated.

The present invention at least has the following beneficial effects:

A total server platform and multiple blockchain computers form a distributed system. In a distributed database system, the big data collection module collects big data and transmits it to the network security module through the big data output module. Based on the Paxos algorithm, it regularly Generate a master node, each node generates the same sequence of operations, then they can finally get a consistent state, otherwise the network will not be enabled, so the security of the network can be effectively guaranteed, and the key of the encryption unit is fake The random number generator has a unique generation method and a high degree of encryption complexity, which further improves the effect of network security.

Description of drawings

The drawings described herein are used to provide further understanding of the present application and constitute a part of the present application. The schematic embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation of the present application. In the attached image:

FIG. 1 is a schematic flowchart of a method for setting up blockchain network security based on the Paxos algorithm of the present invention.

FIG. 2 is a system structure diagram of a block chain network security setting method based on the Paxos algorithm of the present invention.

In the figure, 1-total server platform, 2-blockchain computer, 3-big data management module, 4-big data acquisition module, 5-big data distribution module, 6-big data output module, 7-network security module , 8-consistency processing module, 9-detection unit, 10-encryption unit, 11-decryption unit, 12-timing module, 13-detection module.

Detailed ways

The embodiments of the present application will be described in detail below with reference to the accompanying drawings and examples, so as to fully understand and implement the implementation process of how to apply technical means to solve technical problems and achieve technical effects in the present application.

As shown in FIG. 1-FIG. 2, the block chain network security setting method based on the Paxos algorithm provided by this embodiment includes a general server platform 1 and several blockchain computers 2 connected to the general server platform 1. The general server platform 1 The platform 1 is provided with a data processing module 8, and the blockchain computer 2 includes a big data management module 3, a big data acquisition module 4, a big data distribution module 5, a big data output module 6, a network security module 7, and a big data management module. Module 3, big data acquisition module 4, big data distribution module 5, big data output module 6 and network security module 7 are connected in sequence, the output end of the network security module 7 establishes a communication connection with the blockchain computer 2, and the network security module 7 It is used to provide the master node to the blockchain computer 2 and transmit it to the total server platform 1, and the specific setting method includes the following steps;

S1: The big data collection module 4 in each blockchain computer 2 collects big data and transmits it to the network security module 7 through the big data output module 6, and then the network security module 7 generates a master node periodically based on the Paxos algorithm;

S2: The big data management module 3 is responsible for generating a sequence of the master node information in S1, pushes the sequence to the blockchain computer 2 through the network security module 7, and executes a consensus algorithm on a sequence;

S3: The total server platform 1 will sequentially receive sequences from several blockchain computers 2, and several blockchain computers 2 will sequentially transmit the sequences to the data processing module 8, and the data processing module 8 parses and processes the sequences;

S4: If each blockchain computer 2 performs the same sequence of operations, a consistent state is obtained;

S5: The series of tasks ends, returns to the initial state, and waits for the next consistency based on the Paxos algorithm;

The total server platform 1 and several blockchain computers 2 connected to the total server platform 1, so a total server platform 1 and multiple blockchain computers 2 form a distributed system. In a distributed database system, If the initial state of each blockchain computer 2 is the same, the big data collection module 4 in each blockchain computer 2 collects and transmits the big data to the network security module 7 through the big data output module 6, and then the data inside the network security module 7 Based on the Paxos algorithm, a master node is periodically generated, and each node generates the same sequence of operations, so they can finally get a consistent state;

After the master node sets the latest state information as the current state information of the master node, the current state information of the master node is used as the master node state information, and a sequence is generated;

In order to ensure that each node executes the same sequence of commands, a consensus algorithm needs to be executed on the blockchain computer 2 to ensure that the instructions seen by each blockchain computer 2 are consistent;

A general consensus algorithm can be applied in many scenarios and is an important issue in distributed computing. The Paxos algorithm can be used in situations where multiple processes need to reach some kind of consensus. In distributed storage, multiple blockchain computers 2 After the consensus algorithm reaches the consistency, the blockchain computer 2 can be started to achieve the security protection of the entire network and improve the network security of users.

In this embodiment, as shown in Figure 1, the Paxos algorithm is used to ensure that the blockchain computer 2 can be consistent. In Paxos, each Paxos algorithm needs to select a round of master nodes and generate a sequence , as a consensus algorithm;

In Paxos, each Paxos Instance needs to perform one or more rounds of Prepare->Promise->Propose->Accept such a complete two-stage request process to complete the selection of a proposed value, in order to ensure the correctness of the premise In order to improve the running performance of the algorithm as much as possible, multiple Instances can share a set of sequence number allocation mechanism, and combine Prepare->Promise into one stage, where "Prepare->Promise->Propose->Accept" means "Prepare->Promise" Promise -> Proposal -> Accept", where "Instance" means "instance". The specific methods are as follows:

When a replica node becomes a Master through election, where "Master" means "main", it will use the newly allocated number N to broadcast a Prepare message, which will be used by all instances that have not reached an agreement and the current Instance sharing that has not yet started;

When the Acceptor receives the Prepare message, it must respond to multiple Instances at the same time. This can usually be achieved by encapsulating the feedback information in a data packet. It is assumed that at most K Instances are allowed to select the proposed value at the same time, where " Acceptor" means "acceptor", then:

At present, there are as many K Instances that have not reached an agreement, and the proposed values finally accepted by these pending Instances are encapsulated into a data packet and returned as a Promise message;

At the same time, judge whether N is greater than the highestPromisedNum value of the current Acceptor (the maximum proposal number value that has been accepted currently), if it is greater than, then mark the highestPromisedNum value of these pending Instances and all future Instances is N, in this way, these pending Instances Instance and all future Instances can no longer accept any proposal with a number less than N;

The Master performs the processing of the Propose->Accept phase on all pending Instances and all future Instances respectively. If the Master can run stably all the time, then in the next algorithm running process, the Prepare->Promise processing is no longer required. However, once the Master finds that the Acceptor has returned a Reject message, "Reject" means "reject", indicating that there is another Master in the cluster and trying to use a larger proposal number to send the Prepare message. At this time, the current Master needs to re-run Assign a new proposal number and go through the Prepare->Promise stage again.

One or more rounds of selection of a complete sequence such as Prepare->Promise->Propose->Accept, the algorithm selection is based on the formula:

MasterPrepare=max((T+t)/t);

Where T is the sequence generation waiting time, and t is the sequence transmission processing time.

The Master performs the processing of the Propose->Accept phase on all pending Instances and all future Instances respectively. The total algorithm is:

MasterAccept=(N*n+I*K+P)/(N+K+P);

Among them, N is the number of the generated sequence, n is the number of generated numbers, I is the generated sequence of Instances, K is the number of generated Instances, and P is the sequence with normal performance indicators.

In this embodiment, as shown in FIG. 2 , the network security module 7 includes a detection unit 9 , an encryption unit 10 and a decryption unit 11 , and the detection unit 9 establishes a communication connection with the input ends of the big data management module 3 and the big data acquisition module 4 ;

It is used to detect and encrypt the sequence sent by the user. Once the detection unit 9 finds an abnormality, an abnormal sequence will occur, so the user's computer cannot be started. After the detection unit 9 detects that there is no abnormality, the encryption unit 10 encrypts the sequence to ensure Consistency of the sequence, after multiple consensus algorithms reach an agreement, the computer can be started to improve the security of the computer, and the key of the encryption unit is generated by the pseudo-random number generator, and the pseudo-random number generator generates a random number sequence {K _n }, the generation method of the pseudo-random number sequence {K _n } includes the following steps:

Step (A), let the vector sequence {S ⁿ } be,

为向量序列{Sⁿ}的第i个分量，i的范围为0≤i≤14，初始向量S⁰为，in,

is the ith component of the vector sequence {S ⁿ }, the range of i is 0≤i≤14, and the initial vector S ⁰ is,

S ⁰ =[65535,0,0,65535,0,65535,0,65535,0,0,0,0,0,0,0], mod is the

Modulo operation, b = 65536;

Step (B), let the sequence R _n be,

Step (C), let the sequence T _n be,

Step (D), XOR the sequence R _n and the sequence T _n bitwise, the sequence {K1 _n } is,

为按位异或运算；where n∈Z and n≥0, Z is the integer field,

is a bitwise XOR operation;

In step (E), the sequence R _n and the sequence T _n are bitwise ORed, and the sequence {K2 _n } is,

K2 _n =R _n |T _n

where n∈Z and n≥0, Z is the integer field, | is the bitwise OR operation;

Step (F), bitwise AND the sequence {K1 _n } and the sequence {K2 _n } to obtain the pseudo-random number sequence {K _n } bits,

K _n =K1 _n &K2 _n

Where n∈Z and n≥0, Z is the integer field, & is the bitwise AND operation.

The above-mentioned encryption method is unique and highly complex, which further provides the security performance of the blockchain network.

The node includes a timing module 12 and a detection module 13. The timing module 12 is used to start a timer to start timing, and the detection module 13 is used to detect the node.

When the blockchain computer 2 and the total server platform 1 are synchronously connected, the blockchain computer 2 first obtains the consensus algorithm, and then processes it through 8 on 1. After the 8 processing reaches consistency, the network can be started, so it can be fully guaranteed. network security.

The network security module 7 establishes a communication connection with the data processing module 8, and the data processing module 8 is used to detect whether the consistency algorithms of several network security modules 7 are consistent.

In the block chain network security setting method based on the Paxos algorithm of the present invention, a total server platform and a plurality of block chain computers form a distributed system, and in a distributed database system, the big data collection module collects big data into The big data output module is transmitted to the network security module, and a master node is generated periodically based on the Paxos algorithm. Each node generates the same sequence of operations, so they can finally get a consistent state, otherwise the network will not be able to be enabled, so it can be powerful The security of the network is guaranteed, and the key of the encryption unit is generated by a pseudo-random number generator in a unique way, and the encryption complexity is high, which further improves the effect of network security.

As used in the specification and claims, certain terms are used to refer to particular components. It should be understood by those skilled in the art that hardware manufacturers may refer to the same component by different nouns. The description and claims do not use the difference in name as a way to distinguish components, but use the difference in function of the components as a criterion for distinguishing. As mentioned in the entire specification and claims, "comprising" is an open-ended term, so it should be interpreted as "including but not limited to". "Approximately" means that within an acceptable error range, those skilled in the art can solve technical problems within a certain error range, and basically achieve technical effects.

It should be noted that the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a commodity or system comprising a list of elements includes not only those elements, but also those not explicitly listed Other elements, or also include elements inherent to the commodity or system. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in the commodity or system that includes the element.

The foregoing description shows and describes several preferred embodiments of the present invention, but as previously mentioned, it should be understood that the present invention is not limited to the form disclosed herein, and should not be construed as an exclusion of other embodiments, but may be used in various and other combinations, modifications and environments, and can be modified within the scope of the inventive concepts described herein, from the above teachings or from skill or knowledge in the relevant art. However, modifications and changes made by those skilled in the art do not depart from the spirit and scope of the present invention, and should all fall within the protection scope of the appended claims of the present invention.

Claims (10)

1. a block chain network security setting method based on Paxos algorithm, comprising a total server platform (1) and several block chain computers (2) connected with the total server platform (1), it is characterized in that, A data processing module (8) is provided inside the total server platform (1), and the blockchain computer (2) includes a big data management module (3), a big data acquisition module (4), and a big data distribution module (5), a big data output module (6), a network security module (7), the big data management module (3), the big data acquisition module (4), the big data distribution module (5), and The big data output module (6) and the network security module (7) are connected in sequence, and the output end of the network security module (7) establishes a communication connection with the blockchain computer (2). The module (7) is used to provide the master node to the blockchain computer (2) and transmit it to the total server platform (1), and the specific setting method includes the following steps; S1: the big data collection module (4) in each of the blockchain computers (2) collects big data and transmits it to the network security module (7) through the big data output module (6), Then a master node is periodically generated based on the Paxos algorithm inside the network security module (7); S2: The big data management module (3) is responsible for generating a sequence of the master node information in S1, and the network security module (7) pushes the sequence to the blockchain computer (2), a sequence Execute a consensus algorithm on it; S3: The total server platform (1) will sequentially receive sequences from several of the blockchain computers (2), and several of the blockchain computers (2) will sequentially transmit the sequences to the data processing On the module (8), the data processing module (8) parses and processes the sequence; S4: If each of the blockchain computers (2) performs the same sequence of operations, a consistent state is obtained; S5: The series of tasks ends, returns to the initial state, and waits for the next consistency based on the Paxos algorithm. 2. a kind of block chain network security setting method based on Paxos algorithm according to claim 1, is characterized in that: Paxos algorithm is used to guarantee that described block chain computer (2) can keep consistent, in Paxos, every In a Paxos algorithm, a round of primary node selection is required, and a sequence is generated as a consensus algorithm. 3. a kind of block chain network security setting method based on Paxos algorithm according to claim 1 is characterized in that: in Paxos, each Paxos Instance needs to carry out one or more rounds of Prepare->Promise-> Propose->Accept is a complete sequence request process to complete the selection of a master node, and prepare->Promise is generated as a consensus algorithm. The specific methods are as follows: S3.1. After the master node of the blockchain computer (2) is elected as the Master, it broadcasts a Prepare message through the number N, and the Prepare message is shared by all the Instances that have not reached an agreement and the Instances that have not yet started; S3.2. After the Acceptor receives the Prepare message, it responds to multiple Instances at the same time. This is achieved by generating a sequence of feedback information. Assuming that at most K Instances are allowed to select the proposed value at the same time, then: For Instances for which multiple Ks have not reached an agreement, generate a sequence of the proposed values finally accepted by these pending Instances and return them as Promise messages; Determine whether N is greater than the highestPromisedNum value of the current Acceptor. If it is greater, then mark the highestPromisedNum value of these pending Instances and all future Instances as N, so that these pending Instances and all future Instances can no longer accept any number less than N proposal; S3.3, the Master performs the processing of the Propose->Accept phase on all pending Instances and all future Instances respectively. 4. a kind of block chain network security setting method based on Paxos algorithm according to claim 3 is characterized in that: the selection of such complete sequence of Prepare->Promise->Propose->Accept of one or more rounds, The formula on which the algorithm is chosen is: MasterPrepare=max((T+t)/t); Where T is the sequence generation waiting time, and t is the sequence transmission processing time. 5. a kind of block chain network security setting method based on Paxos algorithm according to claim 3, is characterized in that: Master carries out the processing of Propose->Accept stage to all pending Instance and all future Instance respectively, its total algorithm for: MasterAccept=(N*n+I*K+P)/(N+K+P); Among them, N is the number of the generated sequence, n is the number of generated numbers, I is the generated sequence of instances, K is the number of generated instances, and P is the sequence with normal performance indicators. 6. A kind of block chain network security setting method based on Paxos algorithm according to claim 1, is characterized in that: described network security module (7) comprises detection unit (9), encryption unit (10) and decryption unit (11), the detection unit (9) establishes a communication connection with the input end of the big data management module (3) and the big data acquisition module (4), and the encryption key of the encryption unit (10) is pseudo The random number generator generates, the pseudo-random number generator generates a random number sequence {K _n }, and the generation method of the pseudo-random number sequence {K _n } includes the following steps: Step (A), let the vector sequence {S ⁿ } be,

in,

is the ith component of the vector sequence {S ⁿ }, the range of i is 0≤i≤14, and the initial vector S ⁰ is, S ⁰ =[65535,0,0,65535,0,65535,0,65535,0,0,0,0,0,0,0], mod is the modulo operation, b=65536; Step (B), let the sequence R _n be,

Step (C), let the sequence T _n be,

Step (D), XOR the sequence R _n and the sequence T _n bitwise, the sequence {K1 _n } is,

where n∈Z and n≥0, Z is the integer field,

is a bitwise XOR operation; In step (E), the sequence R _n and the sequence T _n are bitwise ORed, and the sequence {K2 _n } is, K2 _n =R _n |T _n where n∈Z and n≥0, Z is the integer field, | is the bitwise OR operation; Step (F), bitwise AND the sequence {K1 _n } and the sequence {K2 _n } to obtain the pseudo-random number sequence {K _n } bits, K _n =K1 _n &K2 _n Where n∈Z and n≥0, Z is the integer field, & is the bitwise AND operation. 7. A kind of block chain network security setting method based on Paxos algorithm according to claim 1, is characterized in that: described node comprises timing module (12) and detection module (13), described timing module (12) Used to start the timer to start timing, and the detection module (13) is used to detect the node. 8. a kind of block chain network security setting method based on Paxos algorithm according to claim 1, is characterized in that: when described block chain computer (2) and described total server platform (1) are synchronously connected, The blockchain computer (2) first obtains the consensus algorithm. 9. A kind of block chain network security setting method based on Paxos algorithm according to claim 6, is characterized in that: described network security module (7) establishes communication connection with described data processing module (8), described The data processing module (8) is used for detecting whether the consistency algorithms of several of the network security modules (7) are consistent. 10. A method for setting up blockchain network security based on Paxos algorithm according to claim 1, characterized in that: after the master node sets the latest state information as the current state information of the master node, The current state information of the master node is used as the master node state information, and a sequence is generated.

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