DocumentCode :
1652803
Title :
Intuitionistic Fuzzy Theory Based P2P Trust Model
Author :
Yang, Li ; Zhang, Tao ; Xing, Changyou ; Zhang, Yusen
Author_Institution :
Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2011
Firstpage :
1
Lastpage :
4
Abstract :
Trust in Peer to Peer network has the fuzzy feature, and thus it cannot be described and handled using distinct mathematic model. To solve the problem, based on the advantage of using intuitionistic fuzzy theory to handle vague information, we propose a novel P2P trust model named IFTM (Intuitionistic Fuzzy theory based Trust Model), which uses membership, nonmembership and hesitancy degree to describe the positive, negative and uncertain feature of trust evaluation, and uses recommendation fuzzy similarity to weight the recommendations provided by different peers, so as to solve the recommendation transmission and combination problems. By these means IFTM gives a more relevant description on the fuzzy feature of subjective trust. Simulation results show that IFTM increases the successful download ratio and system security compared with traditional model.
Keywords :
fuzzy set theory; peer-to-peer computing; telecommunication security; IFTM; P2P trust model; distinct mathematic model; intuitionistic fuzzy theory; system security; trust evaluation; Analytical models; Computational modeling; Equations; Mathematical model; Measurement; Peer to peer computing; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
ISSN :
2161-9646
Print_ISBN :
978-1-4244-6250-6
Type :
conf
DOI :
10.1109/wicom.2011.6040457
Filename :
6040457
Link To Document :
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