Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

A trust evaluation method based on fuzzy filtering

A fuzzy, trust value technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as low reputation value, increase the stability of trust model, and maliciously drive up reputation value, so as to improve enthusiasm and reduce The probability of whitewashing and the effect of increasing stability

Active Publication Date: 2017-06-13
华炫鼎盛(北京)科技有限公司
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies in the literature in related technical fields and the above existing technologies, on the basis of a large number of existing literature research and long-term research and development practices in related fields, the present invention proposes "a trust evaluation method based on fuzzy filtering", based on the Dirichlet reputation evaluation system Based on and fuzzy theory, it overcomes the technical problems in the existing technology such as "the phenomenon of whitewashing and maliciously driving up the reputation value of nodes in the P2P network", and effectively improves the enthusiasm of nodes to provide high-quality services. To a certain extent, it reduces the probability of node whitewashing and increases the beneficial effect of the stability of the trust model

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A trust evaluation method based on fuzzy filtering
  • A trust evaluation method based on fuzzy filtering
  • A trust evaluation method based on fuzzy filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] Below, referring to the accompanying drawings, through the description of the embodiments, the specific implementation of the present invention, such as the control system involved, the mutual connection relationship, and the implementation method, are further described in detail, so as to help those skilled in the art understand the present invention Have a more complete, accurate and in-depth understanding of the inventive concepts and technical solutions.

[0015] The construction method of the Dirichlet trust evaluation system based on fuzzy filtering, in practical application, using this model can comprehensively, accurately and objectively reflect the trust relationship between the service requester and the service responder, and improve the service requester and service response. the success rate of the interaction. The fuzzy comprehensive evaluation used in this evaluation method is divided into the following five steps:

[0016] (1) Determine the factor set X=...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a trust evaluation method based on fuzzy filtration. According to the method, based on the Dirichlet reputation evaluation system and the fuzzy theory, an evaluation matrix is established to refine user evaluation, calculate a direct trust vector, conduct evaluation filtration, conduct evaluation convergence, calculate a recommended trust vector and calculate a comprehensive trust value, and finally a transaction is conducted between a solicited node and a corresponding node which has a high comprehensive trust value; in this way, the technical problem of the prior art that the reputation value of a node in a P2P network is too low, and therefore the reputation value is whitewashed or driven up maliciously is solved. Meanwhile, by updating the Dirichlet prior basic rate, the motivation of providing high-quality services of the nodes is effectively improved, the node whitewashed probability is reduced to a certain degree, and the stability of a trust model is improved.

Description

technical field [0001] The invention relates to the technical field of trusted computing in information security, in particular to the construction of a multi-evaluation trust assessment system, and more specifically to a Dirichlet trust assessment system based on fuzzy filtering. Background technique [0002] With the rapid development of information technology, the sharing of various resources among network users has become a reality. P2P network has become a hot research field of scholars nowadays because of its unique sharing concept and convenient structure characteristics. Considering the open, anonymous and dynamic structural characteristics of the P2P network, the two parties sharing the transaction cannot get the security guarantee in the real world. The entry and exit of nodes in the P2P network is free and arbitrary, and lacks a corresponding restraint mechanism. This embodies the concept of freedom and equality in the creation of P2P networks, and at the same t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/06H04L29/08G06F19/00
Inventor 罗永龙乔云峰刘莹刘飞孙丽萍
Owner 华炫鼎盛(北京)科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products