Implementation method of Bayesian peer-to-peer network trust measurement model based on cloud architecture

A peer-to-peer network and implementation method technology, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve problems such as difficult to give quantitative and accurate definitions

Active Publication Date: 2014-10-01
FUZHOU UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since trust is a highly subjective concept, it is difficult to give a quantitative and accurate definition

Method used

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  • Implementation method of Bayesian peer-to-peer network trust measurement model based on cloud architecture
  • Implementation method of Bayesian peer-to-peer network trust measurement model based on cloud architecture
  • Implementation method of Bayesian peer-to-peer network trust measurement model based on cloud architecture

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] data storage:

[0025] Assume that node A is the transaction source node, that is, the service requester, and node B is the transaction target node, that is, the service provider. A's transaction record about B can be expressed as HA(B), HA(B)={H1,...,Hn}, which has n components, and each component Hi represents a single transaction record of A about B. Hi can be expressed as a triple , where ei is the evaluation of the transaction, 1 means satisfied, 0 means dissatisfied; si is the type of transaction; di is the time when the transaction occurred. Data is stored on both local and cloud platforms.

[0026] Trust Computing:

[0027] This trust model is based on the Bayesian inference of the β distribution, and the two parameters α and β of the β distribution are set to n respectively s +1 and n u +1 where n s is the number of records of satisfactory interaction with B in the previous transaction records, n u is the number of records with unsatisfactory interactions...

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Abstract

The invention relates to a peer-to-peer network trust degree measurement model based on Bayes under cloud architecture. The peer-to-peer network trust degree measurement model based on the Bayes under the cloud architecture is characterized in that confidence coefficient value calculation is conducted on trust data of nodes; if the confidence coefficient value is less than a threshold value, own trust data are insufficient for conducting trust calculation and trust calculation is transferred to be conducted on a cloud platform which has more trust data and recommended information; otherwise, the trust calculation is conducted locally. The peer-to-peer network trust degree measurement model based on the Bayes under the cloud architecture solves the problems of single point failure and high time delay of a traditional centralization type trust model and overcomes the boundedness of a distributed type trust model in the fields of data storage and security.

Description

technical field [0001] The invention relates to a method for realizing a Bayesian peer-to-peer network trust measurement model under a cloud architecture. Background technique [0002] There is no unified definition of trust yet. Different scholars have different understandings of trust. Trust generally involves the honesty, authenticity, ability, and reliability of subjects or services. Since trust is a highly subjective concept, it is difficult to give a quantitative and accurate definition. Aiming at the specificity of the P2P environment, and considering the requirements of collaborative applications between nodes in the P2P environment, a definition is given: trust refers to a belief that a node performs credible, safe, and reliable actions, and its future behavioral expectations. Let Tij represent the trust value between node i and node j. [0003] There are two types of trust: one is direct trust (DirectTrust), which refers to the trust value obtained between nod...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/06H04L29/08H04L12/26
Inventor 郑相涵陈国龙林伟
Owner FUZHOU UNIV
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