DocumentCode
2179615
Title
Fuzzy Trust for Peer-to-Peer Systems
Author
Griffiths, Nathan ; Chao, Kuo-Ming ; Younas, Muhammad
Author_Institution
University of Warwick, UK
fYear
2006
fDate
04-07 July 2006
Firstpage
73
Lastpage
73
Abstract
Peer-to-peer (P2P) systems are based upon the cooperative interactions of member peers. Typically, peers are both autonomous and self-interested, meaning that there is no hierarchy of control or power, and that individuals seek to maximise their own goal achievement, rather than acting in a benevolent or socially-oriented manner. Consequently, interaction outcomes are uncertain, since peers can break their commitments or provide sub-standard contributions or services. Thus, when a peer cooperates it is entering into an uncertain interaction, that has an associated risk of failure or reduced performance. For peers to be effective they need some mechanism for managing this risk of failure. In this paper we show how peers can use trust to manage this risk. Our model of trust uses fuzzy logic to allow peers to represent and reason with uncertain and imprecise information regarding others’ trustworthiness.
Keywords
Chaotic communication; Collaboration; Computer science; Costs; Distributed computing; Fuzzy logic; Fuzzy systems; Internet telephony; Peer to peer computing; Risk management;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing Systems Workshops, 2006. ICDCS Workshops 2006. 26th IEEE International Conference on
ISSN
1545-0678
Print_ISBN
0-7695-2541-5
Type
conf
DOI
10.1109/ICDCSW.2006.57
Filename
1648962
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