The Markov-based evaluation on trust and reputation in peer-to-peer

被引：0

作者：

Ma Xin-Xin ^{[1
]}

Liu Yong ^{[1
]}

Zhang Feng-Li ^{[1
]}

Qin Zhi-Guang ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Engn & Comp Sci, Chengdu 610054, Sichuan, Peoples R China

来源：

2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING | 2006年

基金：

美国国家科学基金会;

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A Markov-based computing model correlating trust and reputation is proposed to evaluate the reliability of a peer in P2P. In order to obtain the correlated computing results of trust and reputation, we first define four criteria of evaluation according to the preferences of peers in P2P. Then a transitive probability matrix of Markov chain is constructed based on the evaluation criteria. Moreover, corresponding to the above criteria, four calculating types are proposed to obtain elements results of the matrix, which predicts possible future behaviors of the peers. Different with traditional linear sum correlating method, the. Markov-based computing model estimates an evaluated peer's reliability based on these peers' behaviors that is more suitable for real P2P network environment.

引用

页码：1552 / +

页数：3