CN114140138B - Market supervision consistency checking method based on block chain technology - Google Patents

Market supervision consistency checking method based on block chain technology Download PDF

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CN114140138B
CN114140138B CN202111466679.XA CN202111466679A CN114140138B CN 114140138 B CN114140138 B CN 114140138B CN 202111466679 A CN202111466679 A CN 202111466679A CN 114140138 B CN114140138 B CN 114140138B
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CN114140138A (en
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黄锐
陈维政
邱虹
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Chengdu Yulian Technology Co ltd
Xihua University
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Xihua University
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Abstract

The invention discloses a block chain technology-based market supervision consistency checking method, which comprises the following steps: s1, reporting the illegal phenomenon of the platform by one key through a platform client relative to a trader; s2, the supervision node receives the proof of the trader and obtains self-evidence and a trading proof of the relevant platform from the block; s3, the supervision node requires the platform to provide related original evidence; and S4, the supervision node conducts consistency check according to the data from the client and the platform server. The invention utilizes a high-efficiency and low-cost proving mechanism of the Hash function on data consistency, and can quickly establish consistency check on electronic data evidence reported by a user or a platform violation initiated by supervision or supervised checking in a platform anti-monopoly management network. And the anti-monopoly flexible management of the platform is realized through lightweight supervision of self-certification of the platform, user certification and supervision and verification.

Description

Market supervision consistency checking method based on block chain technology
Technical Field
The invention relates to the technical field of block chains, in particular to a market supervision consistency checking method based on a block chain technology.
Background
At present, the anti-monopoly and internet platform governance research is more in China, and the basic principle is to seek a multi-element benefit strategy for simultaneously keeping the initiative of platform innovation, maintaining market fairness and protecting consumer benefits. The commonly achieved consensus is that the particularity of the bilateral market of platform economy and the development of the internet industry is acknowledged, the traditional market regulation method is difficult to be suitable for the development requirement of the platform economy, the platform economy is important, and the reinforcement of supervision is urgently needed.
However, at present, a consistency check mechanism is lacking on an internet platform, and a user or a platform initiated by supervision reports violation or supervises and checks electronic data evidence and the like, which are difficult to perform rapid verification and are not beneficial to realizing anti-monopoly management of the platform.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a market supervision consistency checking method based on a block chain technology, which can quickly establish consistency check on electronic data evidence reported by a user or a platform initiated by supervision violation or supervised and checked and provides conditions for platform anti-monopoly management.
The purpose of the invention is realized by the following technical scheme: a market supervision consistency checking method based on a block chain technology comprises the following steps:
s1, a platform client, a platform server and a supervision node are connected to a block chain consensus network, and a platform illegal phenomenon is reported by one key through the platform client relative to a trader;
s2, the supervision node receives the proof of the trader and obtains self-evidence and a trading proof of the relevant platform from the block;
s3, the supervision node requires the platform to provide related original evidence;
and S4, carrying out consistency check by the supervision node according to data from the client and the platform server.
The invention has the beneficial effects that: the invention utilizes a high-efficiency and low-cost proving mechanism of the Hash function on data consistency, and can quickly establish consistency check on electronic data evidence reported by a user or a platform violation initiated by supervision or supervised checking in a platform anti-monopoly management network. And the platform anti-monopolization flexible management is realized through lightweight supervision of platform self-certification, user certification and supervision and verification.
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FIG. 1 is a flow chart of a method of the present invention;
fig. 2 is a schematic diagram illustrating a detailed principle of a block chain technology-based market regulatory compliance checking method.
Detailed Description
The technical solutions of the present invention are further described in detail below with reference to the accompanying drawings, but the scope of the present invention is not limited to the following.
As shown in fig. 1-2, a method for checking the consistency of market supervision based on the block chain technology includes the following steps:
s1, a platform client, a platform server and a supervision node are connected to a block chain consensus network, and a platform illegal phenomenon is reported by one key through the platform client relative to a trader;
s2, the supervision node receives the proof of the trader and obtains self-evidence and a trading proof of the relevant platform from the block;
s3, the supervision node requires the platform to provide related original evidence;
and S4, carrying out consistency check by the supervision node according to data from the client and the platform server.
In an embodiment of the present application, the step S1 includes:
the relative traders report the platform illegal phenomena by one key through the platform client;
reporting through an anonymous mode, calling an original evidence Dco from a platform client, and reporting the Dco to a supervision node;
D co original proof of order for platform client, D co = { oid, O, userId, U, C, R, S, SP, DP, M, D }; oid is the trade order identification; o is a key information character string of the transaction order; userId is the unique identification of buyer or seller on the platform; u is a user tag of the platform token; c is a transaction condition string at a valid time ValidTime; r is a reason string to limit or deny the transaction; s is a JSON character string of a product structure, which can be a single atomic product or a complex combined product; SP is a JSON character string of a static price structure of a product; DP is the dynamic price structure generated by the platform algorithm; m is a set of metadata that the platform declares to use the trader data; d is platform claim usage trader data. The opposing traders include buyers or sellers.
In an embodiment of the present application, the step S2 includes:
the supervising node will utilize Hash (D) after obtaining the proof of the relative trader co Oid) extract the corresponding H from the block link point oid Data on chain P of co ；D co Oid as D co Oid data in (1);
wherein, P co ＝{H oid ,H o ,H uid ,H u ,H c ,H r ,H w ,H s ,H sp ,H dp ,H m ,H d ,Sig c ，PK c }；H oid = Hash (oid), oid is trade order identification; h o = Hash (O), O is the key information character string of the transaction order; h uid = Hash (userId), userId is the unique identification of buyer or seller at platform; h u = Hash (U), U being the user tag of the platform token; h c = Hash (C), C being a transaction condition string at a validity time ValidTime; h r = Hash (R), R being the reason string to limit or deny the transaction; h w Structural string H of product and its price released by platform w ＝Hash(H s +H sp )；H s = Hash (S), S is the JSON string of the product structure; h sp = Hash (SP), SP is the JSON string of the static price structure of the product; h dp = Hash (DP), DP being the dynamic price structure generated by the platform algorithm; h m = Hash (M), M being metadata of platform declaration of use of trader data; h d = Hash (D), D being platform claim usage trader data; sig c Is platform client private key SK c Signing the private key of the transaction summary data; PK c Is the platform client public key;
in an embodiment of the present application, the step S3 includes:
s301, initiating a checking notice to the platform server by the supervisory node to provide original evidence stored by the platform server;
s302, the platform server receives a monitoring node checking notice;
and S303, the platform server side calls the original evidence through the platform client side.
The original evidence described in step S303 includes:
platform server behavior self-certification original certificate D s Platform server product static and dynamic price structure self-certification original certificate D w 、D dw Platform server-side self-certification original certificate for relative traders D obj ；
Wherein D is s ＝{H uid, userId, U, C, R }; the userId is a unique identifier of the platform user; u is a user tag marked by a platform and adopts a JSON format; c is at effective time VaThe transaction condition character string under the LidTime adopts a JSON format; r is a reason character string for limiting or rejecting the transaction, and adopts JSON format); validTime is the validity period;
D w ＝{H w ,ProductId,S,SP}；H w structural string H of product and its price released by platform w = Hash (S) + Hash (SP)); productId is the product identification of the platform package; s is a JSON character string with a product structure, wherein the product structure is a single atom product or a complex combination product; SP is a JSON character string of a static price structure of a product;
D dw ＝{H w ，ProductId，DP}；H w structural string H of product and its price released by platform w = Hash (S) + Hash (SP)); productId is the product identification of the platform package; DP is the dynamic price structure generated by the platform algorithm;
D obj ＝{H oid ，userId，M，D}；H oid = Hash (oid), oid is the binding transaction Id, userId is the unique identification of buyer or seller on the platform; m is a set of metadata that the platform declares to use the trader data; d is platform claim usage trader data.
In an embodiment of the present application, the step S4 includes:
recalculating Hash on original evidences of the client C and the platform server S, and then verifying data P on a link co The consistency was compared separately to prove the validity of the data.
Checking data P on a blockchain co Consistency of proof raw data with client C:
and (3) platform behavior verification: p co .H u ＝Hash(D co .U)∪Pco.H c ＝Hash(D co .C)∪Pco.H r ＝Hash(D co .R)。
Platform product and price structure verification Pco.H s ＝Hash(D co .S)∪Pco.H sp ＝Hash(D so .SP)∪Pco.H dp ＝Hash(D co .DP)。
Relative trader verification: pco.H m ＝Hash(D co .M)∪Pco.H d ＝Hash(D co .D)。
Checking the consistency of the data Pco on the block chain and the original data of the platform service terminal S:
and (3) platform behavior verification: pco.H u ＝Hash(D s .U)∪Pco.H c ＝Hash(D s .C)∪Pco.H r ＝Hash(D s .R)。
Platform product and price structure verification Pco.H s ＝Hash(D w .S)∪Pco.H sp ＝Hash(D w .SP)∪Pco.H dp ＝Hash(D dw .DP),
Relative trader verification: pco.H m ＝Hash(D obj .M)∪Pco.H d ＝Hash(D obj .D)。
If the verification is inconsistent, the original evidence of the client C and the platform server S is tampered, the legal effectiveness is not achieved, and administrative penalties are carried out.
In some embodiments of the present application, the monitoring node can perform topical analysis through the testifying data of each party, and advance monitoring to enter a detailed data analysis stage.
While the foregoing description shows and describes a preferred embodiment of the invention, it is to be understood, as noted above, that the invention is not limited to the form disclosed herein, but is not intended to be exhaustive or to exclude other embodiments and may be used in various other combinations, modifications, and environments and may be modified within the scope of the inventive concept described herein by the above teachings or the skill or knowledge of the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention, which is to be protected by the claims appended hereto.

Claims (3)

1. A market supervision consistency check method based on a block chain technology is characterized by comprising the following steps: the method comprises the following steps:
s1, a platform client, a platform server and a supervision node are connected to a block chain consensus network, and a platform illegal phenomenon is reported by one key through the platform client relative to a trader;
s2, the supervision node receives the proof of the trader and obtains self-evidence and a trading proof of the relevant platform from the block;
s3, the supervision node requires the platform to provide related original evidence;
s4, carrying out consistency check by the supervision node according to data from the client and the platform server;
the step S1 includes:
one-key reporting is carried out on the illegal phenomenon of the platform relative to the client of the trader platform;
reporting, namely calling an original evidence Dco from a platform client in an anonymous mode, and synchronously reporting the Dco to a supervision node;
D co original proof of order for platform client, D co = { oid, O, userId, U, C, R, S, SP, DP, M, D }; oid is the trade order identification; o is a key information character string of the transaction order; the userId is the unique identification of the buyer or seller on the platform; u is the user tag of the platform token; c is a transaction condition string at a valid time ValidTime; r is a reason string to limit or deny the transaction; s is a JSON character string of a product structure, wherein the product structure is a single atomic product or a complex combined product; SP is a JSON character string of a static price structure of a product; DP is the dynamic price structure generated by the platform algorithm; m is a set of metadata that the platform declares to use the trader data; d is platform claim usage trader data;
the step S2 includes:
the supervising node will utilize Hash (D) after obtaining the proof of the relative trader co Oid) extract the corresponding H from the block link point oid On-chain data P of co ；D co Oid D co Oid data in (1);
wherein, P co ＝{H oid ,H o ,H uid ,H u ,H c ,H r ,H w ,H s ,H sp ,H dp ,H m ,H d ,Sig c ，PK c }；H oid = Hash (oid), oid is trade order identification; h o = Hash (O), O is the key information character string of the transaction order; h uid = Hash (userId) which buyer or seller is on platformA unique identifier; h u = Hash (U), U being the user tag of the platform token; h c = Hash (C), C being a transaction condition string at a valid time ValidTime; h r = Hash (R), R being the reason string to limit or deny the transaction; h w Structural string H of product and its price released by platform w ＝Hash(H s +H sp )；H s = Hash (S), S is the JSON string of the product structure; h sp = Hash (SP), SP is the JSON string of the static price structure of the product; h dp = Hash (DP), DP being the dynamic price structure generated by the platform algorithm; h m = Hash (M), M being metadata of platform declaration of use of trader data; h d = Hash (D), D being platform claim usage trader data; sig c Is platform client private key SK c Signing the private key of the transaction summary data; PK c Is the platform client public key;
in step S3, the original evidence includes:
platform server behavior self-certification D s Platform server product static and dynamic price structure certification D w 、D dw Platform service end versus trader certification D obj And one or more of Order data Order of the platform server;
wherein D is s = { userId, U, C, R }; the userId is a unique identifier of the platform user; u is a user tag marked by a platform and adopts a JSON format; c is a transaction condition character string under the valid time ValidTime, and a JSON format is adopted; r is a reason character string for limiting or rejecting the transaction, and adopts a JSON format; validTime is the validity period;
D w ＝{H w ,ProductId,S,SP}；H w structural string H of product and its price released by platform w = Hash (S) + Hash (SP)); productId is the product identification of the platform package; s is a JSON character string of a product structure, and the product structure is a single atomic product or a complex combined product; SP is a JSON character string of a static price structure of a product;
D dw ＝{H w ，ProductId，DP}；H w structural string of products and their prices published by the platformH w = Hash (S) + Hash (SP)); productId is the product identification of the platform package; DP is the dynamic price structure generated by the platform algorithm;
D obj ＝{H oid ，userId，M，D}；H oid = Hash (oid), oid is the binding transaction Id, userId is the unique identification of buyer or seller on the platform; m is a set of metadata that the platform declares to use the trader data; d is platform claim usage trader data;
step S4 comprises the following steps:
by recalculating Hash on original evidences of a client and a platform server and then verifying data P on a link co Respectively comparing the consistency of the data to prove the validity of the data;
checking data P on a blockchain co Consistency of provenance raw data with client:
and (3) platform behavior verification: p co .H u ＝Hash(D co .U)∪Pco.H c ＝Hash(D co .C)∪Pco.H r ＝Hash(D co R); platform product and price structure verification Pco.H s ＝Hash(D co .S)∪Pco.H sp ＝Hash(D so .SP)∪Pco.H dp ＝Hash(D co .DP)；
Relative trader verification: pco.H m ＝Hash(D co .M)∪Pco.H d ＝Hash(D co .D)；
Checking the consistency of the data Pco on the block chain and the original data of the platform service terminal S:
and (3) platform behavior verification: pco.H u ＝Hash(D s .U)∪Pco.H c ＝Hash(D s .C)∪Pco.H r ＝Hash(D s .R)；
Platform product and price structure verification Pco.H s ＝Hash(D w .S)∪Pco.H sp ＝Hash(D w .SP)∪Pco.H dp ＝Hash(D dw .DP),
Relative trader verification: pco.H m ＝Hash(D obj .M)∪Pco.H d ＝Hash(D obj .D)；
If the verification is inconsistent, the original evidence of the client and the platform server is tampered.
2. The method of claim 1, wherein the method comprises: the opposing traders include buyers or sellers.
3. The method of claim 1, wherein the method comprises: the step S3 includes:
s301, initiating a checking notice to the platform server by the supervisory node to provide original evidence stored by the platform server;
s302, the platform server receives a monitoring node checking notice;
and S303, the platform server side calls the original evidence through the platform client side.
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US20180315055A1 (en) * 2017-05-01 2018-11-01 International Business Machines Corporation Blockchain For Issue/Defect Tracking System
CN110163744A (en) * 2019-04-30 2019-08-23 阿里巴巴集团控股有限公司 A kind of method of payment and device based on block chain
CN110287186B (en) * 2019-05-31 2023-01-03 武汉大学 Smart power grid data management system and method based on master block chaining technology
CN110428328A (en) * 2019-06-18 2019-11-08 广州中科易德科技有限公司 A kind of key right-safeguarding complaint system and method based on block chain technology
CN112699081B (en) * 2020-10-23 2024-01-26 中国工商银行股份有限公司 File self-certification method and device based on blockchain
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