Big data trust management system based on distributed collaborative trust management framework

A technology for trust management and data management, which is applied in digital data processing, network data query, digital data protection, etc., can solve problems such as multi-dimensional attributes and uncertainties, and achieve the effect of solving multi-dimensional attributes and uncertainties

Active Publication Date: 2020-07-03
GUANGDONG UNIVERSITY OF BUSINESS STUDIES
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention aims to overcome the above-mentioned problems in the prior art, provides a big data trust management system based on a distributed collaborative t

Method used

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  • Big data trust management system based on distributed collaborative trust management framework
  • Big data trust management system based on distributed collaborative trust management framework
  • Big data trust management system based on distributed collaborative trust management framework

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0074] Such as figure 1 and figure 2 As shown, this embodiment provides a big data trust management system based on a distributed collaborative trust management framework, and the system includes:

[0075] Trust processing agent, used to calculate and store the direct credibility of directly managed data sources;

[0076] The big data demand provider is used to send a request for obtaining the comprehensive credibility of a specific data source to the trust processing agent;

[0077] The trust processing agent is further configured to query the result in the direct credibility stored by the trust processing agent based on the acquisition request for the specific data source, calculate the comprehensive credibility of the specific data source according to the query result, and output the obtained The above-mentioned comprehensive credibility reaches the demand quotient of big data.

[0078] Due to the problems of multi-dimensional attributes and uncertainties among data nod...

Embodiment 2

[0140] Such as image 3 and Figure 6 As shown, this embodiment discloses a big data trust assessment method, the method comprising:

[0141] S1: Collect the credibility of the data source under the big data provider through the trust collector and store it in the trust value database;

[0142] S2: Obtain the credibility query request for a specific data source sent by the big data demander through the trust evaluation agent;

[0143] S3: Based on the credibility query request, query whether the trust value database stores the credibility of the specific data source;

[0144] S41: In the case that the trust value database does not store the credibility of the specific data source to be queried, send a query request to the neighbor trust processing agent;

[0145] S42: Receive the credibility fed back by the neighbor trust agent;

[0146] S43: In the case where the trust value database stores the credibility of the specific data source to be queried, directly obtain the cre...

Embodiment 3

[0226] as attached Figure 4 and 5 As shown, taking a big data trading platform X as an example, the trading platform provides more than 40 types of API data sources such as express delivery query, credit evaluation, and identity verification for transactions. Under each type of data, there are data provided by multiple suppliers. Based on the system and method described in the present invention, a trust processing agent (TPB) is installed and deployed in the big data provider, and a trust evaluation agent (TEA) is installed in the data demand provider, and through the coordination of the trust processing agent, the platform is The big data data source of the transaction establishes a trusted network, evaluates the credibility of each data source, and provides decision-making basis for big data demanders.

[0227] Such as Figure 4 As shown, it is assumed that big data trading platform X has three big data providers (DP) A, B, and C. Each big data provider can provide one or...

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Abstract

The invention provides a big data trust management system based on a distributed collaborative trust management framework, and relates to the field of big data evaluation management, and the system comprises a trust processing agent which is used for calculating and storing the direct credibility of a direct management data source; the big data demander is used for sending an acquisition request for the comprehensive credibility of the specific data source to the trust processing agent; and the trust processing agent is also used for querying a result in the direct credibility stored by the trust processing agent based on the acquisition request for the specific data source, calculating the comprehensive credibility of the specific data source according to the query result and outputting the comprehensive credibility to the big data demander. The technical problems of multi-dimensional attributes and uncertainty existing in trust evaluation of big data nodes in a big data environment are solved.

Description

technical field [0001] The invention relates to the field of big data evaluation management, and more specifically, to a big data trust management system based on a distributed collaborative trust management framework. Background technique [0002] In an environment where big data resource technology is widely used, the information interaction between big data nodes is very frequent, and the quality of big data data in the big data trading market is uneven, and the degree of credibility varies. When it comes to big data data sources, if the credibility of various data sources (credibility includes service quality and data authenticity) can be quantitatively evaluated through big data trusted computing technology, the evaluation results will become the first choice for big data demanders. However, in the process of data source selection, big data users often cannot directly obtain the credibility of the target information source, which leads to greater uncertainty in the tran...

Claims

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Application Information

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IPC IPC(8): G06F21/60G06F16/953
CPCG06F21/606G06F16/953
Inventor 郑伟发苏礼楷谢少群
Owner GUANGDONG UNIVERSITY OF BUSINESS STUDIES
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