Trust evaluation system based on privacy protection and construction method thereof

Abstract

A trust evaluation system based on privacy protection and a construction method thereof relate to the field of dependable computing in information safety. The system comprises a service node, a trust evaluation proxy node and a user node. The trust evaluation proxy node dynamically deploys a trust evaluation method to measure the trust relationship between the user node and the service node. The user node and the trust evaluation proxy node transmit and receive information mutually and evaluate the service node. The system and its construction method aim to objectively, accurately and justly quantify the trust relationship between the user node and the service node, effectively inhibit malicious acts such as conspired fraud, malevolent recommendation and the like, raise interactive success rate of the user node and the service node and meet requirements of user node individuation to the maximum.

Description

technical field [0001] The invention relates to the trusted computing field in information security, in particular to a method for building a system based on a privacy-protected trust model. Background technique [0002] Since Google first proposed the concept of cloud computing in 2006, cloud computing has attracted more and more attention from today's academia and industry. It organizes a large number of idle resources and uses virtualization technology to form a "virtual resource pool". Users request individuality through the network. resources. Cloud computing adheres to the purpose of "providing cheap on-demand services for enterprises and other end users". It not only saves the cost of using computer resources for ordinary users, but also meets the needs of management and analysis of massive data for enterprises to use its powerful computing capabilities. Undoubtedly, cloud computing will become an inevitable trend to deal with massive data. However, while enterpris...

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Problems solved by technology

[0004] The above part briefly introduces the current research status of trust models, and its analysis can be concluded that most of the existing models are trust mechanisms based on feedback. Although they can improve the comprehensiveness of trust evaluation, they are easily affected by the subjective influence of recommended entities. There are risks such as collusion fraud and malicious recommendation, which leads to the final trust evaluation result not being able to objectively reflect the trust relationship between entities

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