Generalized Analysis of Convergence of Absolute Trust in Peer-to-Peer Networks

被引：5
|
作者：
Awasthi, Sateesh Kumar [1 ]
Singh, Yatindra Nath [1 ]
机构：
[1] IIT Kanpur, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India
来源：
IEEE COMMUNICATIONS LETTERS | 2016年 / 20卷 / 07期
关键词：
Non-negative matrix; eigenvector; matrix norm;
D O I：
10.1109/LCOMM.2016.2561284
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Open and anonymous nature of peer-to-peer networks provides an opportunity for malicious peers to behave unpredictably in the network. This leads to lack of trust among peers. To control the behavior of peers in the network, a reputation system can be used. In the reputation system, aggregation of trust is a primary issue. Algorithm for aggregation of trust should be designed, such that it can converge to a certain finite value. Absolute Trust is one such trust aggregation algorithm. This letter presents the generalized analysis of convergence of the Absolute Trust algorithm.
引用
收藏
页码：1345 / 1348
页数：4
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