DocumentCode
2311913
Title
A New Trust Framework Based on Reputation for Unstructured P2P Networks
Author
Tian, Chunqi ; Zou, Shihong ; Chu, Lingwei ; Cheng, Shiduan
Author_Institution
Dept. of Comput. Sci., Tongji Univ., Shanghai
fYear
2008
fDate
7-9 Dec. 2008
Firstpage
209
Lastpage
216
Abstract
Managing trust is a key issue for a wide acceptance of P2P computing, particularly in critical areas such as e-commerce. Reputation based trust management has been identified in the literature as a viable solution to the problem. However, the mechanism faces the challenges of subjectively, experiential weighting referrals when aggregating recommendation information. Furthermore, not considering some malicious attacks when building trust relationship between peers in the existing schemes make trust model very vulnerable. This paper presents P2PTrust-a new trust framework based on reputation for unstructured P2P networks. In P2PTrust, except reputation value, reputation revision value is also taken into account in order to deal with the dynamic or spoiling behavior of peers, which makes P2PTrust differ from other trust models based on the reputation only. Considering the credibility of peers´ referrals, a credibility quantification and update scheme is proposed in the paper as reliable means of seeking honest feedbacks. Subsequent experimental results show that, compared to the existing trust models, our scheme is robust in systems where the vast majority of users are malicious and more advanced in successful transaction rate.
Keywords
peer-to-peer computing; security of data; P2PTrust framework; credibility quantification scheme; reputation based trust framework; reputation revision value; unstructured P2P network; Computer network management; Computer science; Content management; Face recognition; Large-scale systems; Peer to peer computing; Risk management; Telecommunication computing; Telecommunication network management; Telecommunication switching;
fLanguage
English
Publisher
ieee
Conference_Titel
Performance, Computing and Communications Conference, 2008. IPCCC 2008. IEEE International
Conference_Location
Austin, Texas
ISSN
1097-2641
Print_ISBN
978-1-4244-3368-1
Electronic_ISBN
1097-2641
Type
conf
DOI
10.1109/PCCC.2008.4745120
Filename
4745120
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