CN110413649A - A kind of financial big data processing method and its system platform based on block chain - Google Patents

A kind of financial big data processing method and its system platform based on block chain Download PDF

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CN110413649A
CN110413649A CN201910708870.7A CN201910708870A CN110413649A CN 110413649 A CN110413649 A CN 110413649A CN 201910708870 A CN201910708870 A CN 201910708870A CN 110413649 A CN110413649 A CN 110413649A
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CN110413649B (en
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胡明军
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Shenzhen Dashu Xinke Technology Co.,Ltd.
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • G06F16/24552Database cache management
    • GPHYSICS
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    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/62Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245Protecting personal data, e.g. for financial or medical purposes
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    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

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Abstract

The financial big data processing method and its system platform that the invention discloses a kind of based on block chain are the following steps are included: data input unit receives the data of financial transaction of input, and data of financial transaction is sent to data-optimized unit;Data-optimized unit receives data of financial transaction and optimizes to it, and provides data of financial transaction store path to Data Management Unit;The present invention improves the efficiency of authentication verification algorithm and agreement, while meeting financial system diversified demand, improves the utilization rate of resource, enormously simplifies the experience of user data access.

Description

A kind of financial big data processing method and its system platform based on block chain
Technical field
The invention belongs to block chain financial technology fields, and in particular to a kind of financial big data processing side based on block chain Method and its system platform.
Background technique
As the rapid development of information science technology, especially block chain, cloud computing, big data technology are in internet finance It is widely applied, especially block chain has potential in financial fields such as international exchange, the letter of credit, equity registration and stock exchanges Huge applications value.By block chain technical application in financial industry, third party's intermediacy can be saved, is realized point-to-point Direct docking, so that transaction payment is rapidly completed, the core competitiveness of the following financial circles is very while substantially reducing cost Speed and ability in big degree dependent on extraction information and knowledge from big data, and this speed and ability, depend on number According to processing and application level.It is flat to finance data with continuing to bring out for the Novel finicals industry situations such as internet finance, mobile payment Platform requires also to correspondingly increase.
Financial database is very high to the accuracy of data, reliability requirement, and it must have the stronger property checked. Most financial product needs long-time tracking to handle, and data also have diversity, complexity.But current actual conditions It is that financial product data handling procedure is complicated, in interaction, the bit error rate is high and safety is again and again by prestige for financial business core data The side of body, bank finance financing, security, insurance company VI P client carry out business operation and access when and normal client data volume It tests and speed experience difference is little, meanwhile, there is also financial products newly developed and existing operation system data sharing to deposit In incompatible problem.
Summary of the invention
The purpose of the invention is to overcome above-mentioned deficiency to provide a kind of financial big data processing method based on block chain And its system platform.
A kind of financial big data processing method based on block chain, comprising the following steps:
Data input unit receives the data of financial transaction of input, and data of financial transaction is sent to data-optimized list Member;
Data-optimized unit receives data of financial transaction and optimizes to it, and provides financial transaction to Data Management Unit Data storage path;
Data Management Unit receives data storage path and optimized data of financial transaction, and to by optimizing Data of financial transaction afterwards is encoded, and data storage path and data encoding are sent to distributed block cache node;
Distributed block cache node receives store path and data encoding, and data encoding is converted to data storage version And be sent in database and stored,
When user needs to inquire relevant financial transaction data, corresponding block cache node is found out by query unit, and Data inquiry request is sent to the block cache node, distributed block cache node is searched corresponding according to data inquiry request Storage version, and the specified inquiry port address of query unit is pushed to when finding corresponding storage version.
Before data input unit receives the data of financial transaction of input: client carries out typing by data input unit, Data input unit sends key sequence and common parameter to client by safe lane, and client stores key sequence; Financial institution's staff's work number and password login, which send typing to data input unit, requests;Data input unit is from public A random number is selected in parameter at random, wherein only to known to data input unit before random number;Data input unit passes through Random number is sent to client and stored it in client by safe lane;Financial institution staff logs off again Work number and password are inputted to its client, client selectes a random number as its private key at random from common parameter, and counts Calculate its public key;Data input unit verifies client public key by key sequence, is verified laggard row information typing.
The system platform of the financial big data processing method based on block chain includes: that data input unit, data are excellent Change unit, Data Management Unit, distributed block cache node and query unit, the data input unit, data-optimized list Member, Data Management Unit, distributed block cache node and query unit are according to being sequentially connected.
The present invention has the effect that the present invention improves the efficiency of authentication verification algorithm and agreement, to its security level It compares, attack may be born by avoiding in finance data transmission, abandon traditional communication computer system, only need to be according to number Error code rate can be made to be preferably minimized according to the transmission time that administrative unit is deployed to distributed block cache node, and also improved The efficiency of secure communication while meeting financial system diversified demand, improves resource by distributed resource allocation method Utilization rate, enormously simplify the experience of user data access.
Detailed description of the invention
Fig. 1 is present system structural schematic diagram.
Specific embodiment
Below in conjunction with specific embodiment, the present invention is further illustrated:
A kind of financial big data processing method based on block chain, comprising the following steps:
Data input unit receives the data of financial transaction of input, and data of financial transaction is sent to data-optimized list Member;
Data-optimized unit receives data of financial transaction and optimizes to it, and provides financial transaction to Data Management Unit Data storage path;
Data Management Unit receives data storage path and optimized data of financial transaction, and to by optimizing Data of financial transaction afterwards is encoded, and data storage path and data encoding are sent to distributed block cache node;
Distributed block cache node receives store path and data encoding, and data encoding is converted to data storage version And be sent in database and stored,
When user needs to inquire relevant financial transaction data, corresponding block cache node is found out by query unit, and Data inquiry request is sent to the block cache node, distributed block cache node is searched corresponding according to data inquiry request Storage version, and the specified inquiry port address of query unit is pushed to when finding corresponding storage version.
Before data input unit receives the data of financial transaction of input: client carries out typing by data input unit, Data input unit sends key sequence and common parameter to client by safe lane, and client stores key sequence; Financial institution's staff's work number and password login, which send typing to data input unit, requests;Data input unit is from public A random number is selected in parameter at random, wherein only to known to data input unit before random number;Data input unit passes through Random number is sent to client and stored it in client by safe lane;Financial institution staff logs off again Work number and password are inputted to its client, client selectes a random number as its private key at random from common parameter, and counts Calculate its public key;Data input unit verifies client public key by key sequence, is verified laggard row information typing.
It is described when data storage path and data encoding are sent to distributed block cache node, if receive financial number It is I according to the distributed block cache node sum that store path and finance data encode, for distributed block cache node i ∈ { 1,2 ..., I }, the size for needing to transmit finance data packet representated by each coding is dx, calculates the number of finance data coding According to transmission rate vsiAre as follows:
Wherein, zyiIndicate channel gain;PiFor transimission power;σ2It is sampled value variance of the noise after over-sampling;liFor The maximum data length that link layer can bear;wiFor the bit error rate of transmission finance data coding;stiFor the degree of strength of channel; E indicates natural constant;Q-1(x) be function Q inverse function, whereinX is independent variable, and t is meaningless; Then
Wherein, B is channel width, tiThe transmission time of distributed block cache node i is deployed to for Data Management Unit; When distributed block cache node receives store path and data encoding, Data Management Unit is by adjusting tiTo reach minwiI.e. It can.
When the distributed block cache node receives store path and data encoding, Data Management Unit passes through safety letter The parameter that road sending time is stabbed and randomly selected gives distributed block cache node;Distributed block cache node checks data pipe It manages unit and receives a message and if only if it includes one for distributed block cache node close enough current time Timestamp;If it is not, distributed block cache node may think that Data Management Unit, there are Replay Attack, distributed blocks The reception of cache node stopping finance data;If so, distributed block cache node utilizes its private key and Data Management Unit Public key check both password equation it is whether equal;If unequal, distributed block cache node stops finance data It receives;If equal, Data Management Unit selectes random parameter, and session key, distributed block cache node at random The parameter stabbed and randomly selected by safe lane sending time is to Data Management Unit;Data Management Unit checks data management Unit receives a message and if only if it includes the timestamps at a close enough current time for Data Management Unit; If it is not, Data Management Unit may think that distributed block cache node there are Replay Attack, Data Management Unit stops gold Melt the transmission of data;If so, Data Management Unit checks the password of the two using the public key of its private key and Data Management Unit Whether equation is equal;If unequal, Data Management Unit stops the transmission of finance data;If equal, Data Management Unit is calculated First arranging key is simultaneously sent to distributed block cache node by safe lane;Distributed block cache node calculates second Whether arranging key simultaneously judges equal with the first arranging key;If unequal, secure key negotiation unsuccessfully stops finance data Transmission;If equal, Data Management Unit and distributed block cache node have all reached a trust threshold, are negotiated with second Key simultaneously judges to continue finance data transmission with the first arranging key.
The system platform of the financial big data processing method based on block chain includes: that data input unit, data are excellent Change unit, Data Management Unit, distributed block cache node and query unit, the data input unit, data-optimized list Member, Data Management Unit, distributed block cache node and query unit are according to being sequentially connected.

Claims (5)

1. a kind of financial big data processing method based on block chain, which comprises the following steps:
Data input unit receives the data of financial transaction of input, and data of financial transaction is sent to data-optimized unit;
Data-optimized unit receives data of financial transaction and optimizes to it, and provides data of financial transaction to Data Management Unit Store path;
Data Management Unit receives data storage path and optimized data of financial transaction, and to optimized Data of financial transaction is encoded, and data storage path and data encoding are sent to distributed block cache node;
Distributed block cache node receives store path and data encoding, and it is concurrent that data encoding is converted to data storage version It send and is stored into database,
When user needs to inquire relevant financial transaction data, corresponding block cache node is found out by query unit, and to this Block cache node sends data inquiry request, and distributed block cache node searches corresponding storage according to data inquiry request Version, and the specified inquiry port address of query unit is pushed to when finding corresponding storage version.
2. the financial big data processing method based on block chain according to claim 1, it is characterised in that data input unit Before the data of financial transaction for receiving input: client carries out typing by data input unit, and data input unit passes through safety Channel sends key sequence and common parameter to client, and client stores key sequence;Financial institution's staff's recruitment Number and password login to data input unit send typing request;Data input unit from common parameter at random select one with Machine number, wherein only to known to data input unit before random number;Data input unit is sent random number by safe lane To client and store it in client;Financial institution staff log off again to its client input work number and Password, client selectes a random number as its private key at random from common parameter, and calculates its public key;Data input unit Client public key is verified by key sequence, is verified laggard row information typing.
3. the financial big data processing method according to claim 1 or claim 2 based on block chain, it is characterised in that: described to count When being sent to distributed block cache node according to store path and data encoding, if receive finance data store path and finance The distributed block cache node sum of data encoding is that I needs distributed block cache node i ∈ { 1,2 ..., I } The size for transmitting finance data packet representated by each coding is dx, calculates the message transmission rate vs of finance data codingiAre as follows:
Wherein, zyiIndicate channel gain;PiFor transimission power;σ2It is sampled value variance of the noise after over-sampling;liFor link layer The maximum data length that can bear;wiFor the bit error rate of transmission finance data coding;stiFor the degree of strength of channel;E is indicated Natural constant;Q-1(x) be function Q inverse function, whereinX is independent variable, and t is meaningless;Then
Wherein, B is channel width, tiThe transmission time of distributed block cache node i is deployed to for Data Management Unit;Distribution When formula block cache node receives store path and data encoding, Data Management Unit is by adjusting tiTo reach minwi.
4. the financial big data processing method based on block chain according to claim 3, it is characterised in that: the distribution area When block cache node receives store path and data encoding, Data Management Unit passes through safe lane sending time stamp and random choosing The parameter taken gives distributed block cache node;Distributed block cache node checks that Data Management Unit receives a message and works as And if only if it includes the timestamps at a close enough current time for distributed block cache node;If it is not, distribution Formula block cache node may think that Data Management Unit there are Replay Attack, and distributed block cache node stops finance data Reception;If so, distributed block cache node checks the password of the two using the public key of its private key and Data Management Unit Whether equation is equal;If unequal, distributed block cache node stops the reception of finance data;If equal, data pipe It manages unit and selectes random parameter, and session key at random, distributed block cache node passes through safe lane sending time The parameter stabbed and randomly selected is to Data Management Unit;Data Management Unit check Data Management Unit receive message when and Only when it includes the timestamps at a close enough current time for Data Management Unit;If it is not, Data Management Unit Distributed block cache node be may think that there are Replay Attack, Data Management Unit stops the transmission of finance data;If so, Data Management Unit checks whether the password equation of the two is equal with the public key of Data Management Unit using its private key;If not phase Deng the transmission of Data Management Unit stopping finance data;If equal, Data Management Unit calculates the first arranging key and passes through peace All channel is sent to distributed block cache node;Distributed block cache node calculates the second arranging key and judges and first Whether arranging key is equal;If unequal, secure key negotiation unsuccessfully stops finance data transmission;If equal, data pipe Reason unit and distributed block cache node have all reached a trust threshold, with the second arranging key and judge to negotiate with first Key continues finance data transmission.
5. a kind of system platform of -4 financial big data processing methods based on block chain according to claim 1, feature It is to include: data input unit, data-optimized unit, Data Management Unit, distributed block cache node and query unit, The data input unit, data-optimized unit, Data Management Unit, distributed block cache node and query unit are according to sequentially It is connected.
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CN112734581A (en) * 2021-01-12 2021-04-30 广州市讯奇数码科技有限公司 5G block chain social security data application system

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