CN114140138A - 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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CN114140138A
CN114140138A CN202111466679.XA CN202111466679A CN114140138A CN 114140138 A CN114140138 A CN 114140138A CN 202111466679 A CN202111466679 A CN 202111466679A CN 114140138 A CN114140138 A CN 114140138A
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CN114140138B (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 a platform illegal phenomenon 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, carrying out consistency check by the supervision node according to 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 anti-monopoly flexible management of the platform is realized through lightweight supervision of self-certification of the platform, user certification and supervision and verification.
Drawings
FIG. 1 is a flow chart of a method of the present invention;
fig. 2 is a schematic diagram illustrating a specific principle of a method for checking the consistency of market supervision based on the block chain technology.
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 market supervision consistency based on a 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;
the reporting is carried out in an anonymous mode, original evidence Dco is called from a platform client side, and the Dco is submitted to a supervision node;
Dcooriginal proof of order for platform client, Dco{ oid, O, userId, U, C, R, S, SP, DP, M, D }; oid is a 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 a user tag of the platform token; c is a cross-over at a validity time ValidTimeAn easy condition string; 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 tradercoOid) extracting the corresponding H from the block link pointoidOn-chain data P ofco；DcoOid is DcoOid data in (1);
wherein, Pco＝{Hoid,Ho,Huid,Hu,Hc,Hr,Hw,Hs,Hsp,Hdp,Hm,Hd,Sigc，PKc}；Hoid-hash (oid), oid is the trade order identification; hoHash (O), O is a key information character string of the transaction order; huidHash (userId), which is the unique identity of the buyer or seller at the platform; huHash (U), U being the user tag of the platform token; hcHash (C), C is a transaction condition string at a valid time ValidTime; hrR is a reason string to limit or deny the transaction; hwStructural string H of product and its price released by platformw＝Hash(Hs+Hsp)；Hs(S), S is a JSON string of the product structure; hsp(SP), SP is the JSON string of the product static price structure; hdp(DP), DP is the dynamic price structure generated by the platform algorithm; hmHash (M), M being metadata that the platform declares the use of the trader data; hdHash (D), D is platform claim usage trader data; sigcIs platform client private key SKcSigning the private key of the transaction summary data; PKcIs a platform clientA terminal 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 DsPlatform server product static and dynamic price structure self-certification original certificate Dw、DdwPlatform server-side self-certification original certificate for relative traders Dobj；
Wherein D iss＝{Huid,userId, U, C, R }; the userId is a unique identifier of the platform user; u is a user tag of the platform tag 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 JSON format); ValidTime is the validity period;
Dw＝{Hw,ProductId,S,SP}；Hwstructural string H of product and its price released by platformwHash(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;
Ddw＝{Hw，ProductId，DP}；Hwstructural string H of product and its price released by platformwHash(s) + Hash (sp)); ProductId is the product identification of the platform package; DP is the dynamic price structure generated by the platform algorithm;
Dobj＝{Hoid，userId，M，D}；Hoidoid 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 the platform soundThe trader data is used explicitly.
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 linkcoThe consistency was compared separately to prove the validity of the data.
Checking data P on a blockchaincoConsistency of proof raw data with client C:
and (3) platform behavior verification: pco.Hu＝Hash(Dco.U)∪Pco.Hc＝Hash(Dco.C)∪Pco.Hr＝Hash(Dco.R)。
Platform product and price structure verification Pco.Hs＝Hash(Dco.S)∪Pco.Hsp＝Hash(Dso.SP)∪Pco.Hdp＝Hash(Dco.DP)。
Relative trader verification: Pco.Hm＝Hash(Dco.M)∪Pco.Hd＝Hash(Dco.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.Hu＝Hash(Ds.U)∪Pco.Hc＝Hash(Ds.C)∪Pco.Hr＝Hash(Ds.R)。
Platform product and price structure verification Pco.Hs＝Hash(Dw.S)∪Pco.Hsp＝Hash(Dw.SP)∪Pco.Hdp＝Hash(Ddw.DP),
Relative trader verification: Pco.Hm＝Hash(Dobj.M)∪Pco.Hd＝Hash(Dobj.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 (7)

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;
and S4, carrying out consistency check by the supervision node according to data from the client and the platform server.
2. The method of claim 1, wherein the method comprises: 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;
the report calls an original evidence Dco from the platform client in an anonymous mode, and synchronously reports the Dco to a supervision node;
Dcooriginal proof of order for platform client, Dco{ oid, O, userId, U, C, R, S, SP, DP, M, D }; oid is a 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 a user tag of the platform token; c is at effective time ValidTimeThe transaction condition string of (1); 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.
3. The method of claim 2, wherein the step of checking the regulatory consistency of the market based on the blockchain technology comprises: the opposing traders include buyers or sellers.
4. The method of claim 1, wherein the method comprises: the step S2 includes:
the supervising node will utilize Hash (D) after obtaining the proof of the relative tradercoOid) extracting the corresponding H from the block link pointoidOn-chain data P ofco；DcoOid is DcoOid data in (1);
wherein, Pco＝{Hoid,Ho,Huid,Hu,Hc,Hr,Hw,Hs,Hsp,Hdp,Hm,Hd,Sigc，PKc}；Hoid-hash (oid), oid is the trade order identification; hoHash (O), O is a key information character string of the transaction order; huidHash (userId), which is the unique identity of the buyer or seller at the platform; huHash (U), U being the user tag of the platform token; hcHash (C), C is a transaction condition string at a valid time ValidTime; hrR is a reason string to limit or deny the transaction; hwStructural string H of product and its price released by platformw＝Hash(Hs+Hsp)；Hs(S), S is a JSON string of the product structure; hsp(SP), SP is the JSON string of the product static price structure;Hdp(DP), DP is the dynamic price structure generated by the platform algorithm; hmHash (M), M being metadata that the platform declares the use of the trader data; hdHash (D), D is platform claim usage trader data; sigcIs platform client private key SKcSigning the private key of the transaction summary data; PKcIs the platform client public key.
5. 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.
6. The method of claim 4, wherein the step of checking the regulatory consistency of the market based on the blockchain technology comprises: the original evidence described in step S303 includes:
platform server behavior self-certification DsPlatform server product static and dynamic price structure certification Dw、DdwPlatform service end versus trader certification DobjAnd one or more of Order data Order of the platform server;
wherein D iss{ userId, U, C, R }; the userId is a unique identifier of the platform user; u is a user tag of the platform tag 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;
Dw＝{Hw,ProductId,S,SP}；Hwstructural string H of product and its price released by platformwHash(s) + Hash (sp)); ProductId is the product identification of the platform package; s is JSON character string of product structure, and the product structure is a single atom productOr complex combinations; SP is a JSON character string of a static price structure of a product;
Ddw＝{Hw，ProductId，DP}；Hwstructural string H of product and its price released by platformwHash(s) + Hash (sp)); ProductId is the product identification of the platform package; DP is the dynamic price structure generated by the platform algorithm;
Dobj＝{Hoid，userId，M，D}；Hoidoid 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.
7. The method of claim 1, wherein the method comprises: 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 linkcoRespectively comparing the consistency of the data to prove the validity of the data;
checking data P on a blockchaincoConsistency of proof raw data with client C:
and (3) platform behavior verification: pco.Hu＝Hash(Dco.U)∪Pco.Hc＝Hash(Dco.C)∪Pco.Hr＝Hash(Dco.R)；
Platform product and price structure verification Pco.Hs＝Hash(Dco.S)∪Pco.Hsp＝Hash(Dso.SP)∪Pco.Hdp＝Hash(Dco.DP)；
Relative trader verification: Pco.Hm＝Hash(Dco.M)∪Pco.Hd＝Hash(Dco.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.Hu＝Hash(Ds.U)∪Pco.Hc＝Hash(Ds.C)∪Pco.Hr＝Hash(Ds.R)；
Platform product and price structure verification Pco.Hs＝Hash(Dw.S)∪Pco.Hsp＝Hash(Dw.SP)∪Pco.Hdp＝Hash(Ddw.DP),
Relative trader verification: Pco.Hm＝Hash(Dobj.M)∪Pco.Hd＝Hash(Dobj.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.
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