A P2P e-Commerce Reputation Model Based on Fuzzy Logic

Author

Li, Ji ; Liu, Lu ; Xu, Jie

Author_Institution

Dept. of Comput. Coll., Chong Qing Univ., Chong Qing, China

fYear

2010

fDate

June 29 2010-July 1 2010

Firstpage

1275

Lastpage

1279

Abstract

Peer-to-Peer (P2P) networking is beneficial when removing a centralized server. On the other hand, new mechanisms are required to compensate for the central authority, especially for network security and dependability. In this paper, we propose a new fuzzy reputation (Fuzzy-Rep) model to improve security and dependability of P2P e-commerce. The model employs fuzzy logic inference rules to assess transactions through evaluating the direct trust, indirect reputation, peer´s comprehensive reputation, rewards and penalty mechanisms which can resist vicious trust recommendation and fraud.

Keywords

electronic commerce; fuzzy logic; inference mechanisms; peer-to-peer computing; security of data; telecommunication security; P2P e-commerce reputation model; fuzzy logic inference rules; fuzzy reputation model; network security; peer-to-peer networking; penalty mechanism; rewards mechanism; Attenuation; Computational modeling; Conferences; Fuzzy logic; Mathematical model; Peer to peer computing; Security; E-commerce; fuzzy logic; reputation model; trust attenuation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on

Conference_Location

Bradford

Print_ISBN

978-1-4244-7547-6

Type

conf

DOI

10.1109/CIT.2010.230

Filename

5577871