Credibility measuring method combining Bayesian algorithm and MapReduce

A Bayesian algorithm and measurement method technology, applied in computing, computing models, instruments, etc., can solve problems such as high latency, affecting system security and practical application performance, difficult to ensure data confidentiality, integrity and convenience, etc.

Inactive Publication Date: 2013-12-18
FUZHOU UNIVERSITY
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Problems solved by technology

However, this solution also has two limitations: due to the lack of a centralized management model, the acquisition of node indirect trust needs to rely on a large amount of data sending and collection work, which increases the burden on nodes and

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  • Credibility measuring method combining Bayesian algorithm and MapReduce
  • Credibility measuring method combining Bayesian algorithm and MapReduce
  • Credibility measuring method combining Bayesian algorithm and MapReduce

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Embodiment Construction

[0025] Such as figure 1 As shown, the present invention provides a kind of trust measurement method that Bayesian algorithm and MapReduce combine, comprise the following steps:

[0026] S01: Use the Bayesian filtering algorithm to evaluate the trust degree of the behavior records generated in the interaction of mobile terminals. By counting the prior probability in the training data set, the Bayesian formula is used to calculate the posterior probability, and the maximum posterior probability is selected as trustworthiness of conduct records;

[0027] S02: Use the Bayesian inference algorithm with Dirichlet (Dirichlet function) process to evaluate the probability distribution of trusted records, and obtain the credibility prediction of mobile terminals;

[0028] S03: Use the information gain algorithm to realize the selection of eigenvalues.

[0029] First of all, for the behavior records generated by the interaction of mobile terminals, trust initialization calculations nee...

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Abstract

The invention relates to a credibility measuring method combining a Bayesian algorithm and a MapReduce. The credibility measuring method combining the Bayesian algorithm and the MapReduce comprises the following steps that S01, a Bayesian filter algorithm is used for carrying out credibility evaluation on behavior records generated in the process of mobile terminal interaction, statistics is carried out on the prior probability of training data centralization, the posterior probability of the behavior records is calculated through a Bayes formula, and the maximum posterior probability is selected to serve as the credibility of the behavior records; S02, probability distribution evaluation is carried out on credible records through a Bayesian inference algorithm with a Dirichlet process, and prediction of the credibility of mobile terminals can be obtained; S03, selection of a characteristic value is achieved through an information gain algorithm. The credibility measuring method combining the Bayesian algorithm and the MapReduce achieves high efficiency, safety and neutrality in the process of calculation and storage of the credibility with the help of a cloud computing platform, and safe storage and high-performance calculation of data are ensured.

Description

technical field [0001] The invention relates to a trust measurement method combining Bayesian algorithm and MapReduce. Background technique [0002] The existing network trust model provides a reference theoretical basis for the research on communication trust between mobile terminals, and is mainly divided into two categories: centralized trust measurement and distributed trust measurement. Distributed trust measurement starts from a subjective point of view and combines the concept of trust to judge the behavior attributes, behavior interactions and results of nodes, and realizes the subjective and credible evaluation of node behavior to a certain extent. At present, research in this field has achieved some important results, among which the more influential works include: EigenTrust, PowerTrust, PeerTrust, R2BTM, DRS (Dirichlet Reputation Systems), FTE (Fuzzy-based Trust Evaluation), PRMGST, etc. Among them, DRS considers that the trust evaluation of nodes decays with ti...

Claims

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Application Information

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IPC IPC(8): G06N3/00H04L29/08
Inventor 郑相涵徐凌珊陈哲毅郭文忠陈国龙
Owner FUZHOU UNIVERSITY
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