DocumentCode :
2765746
Title :
Detecting malicious peers in a reputation-based peer-to-peer system
Author :
Mekouar, Loubna ; Iraqi, Youssef ; Boutaba, Raouf
Author_Institution :
Waterloo Univ., Ont., Canada
fYear :
2005
fDate :
3-6 Jan. 2005
Firstpage :
37
Lastpage :
42
Abstract :
In this paper we propose a reputation management scheme for partially decentralized peer-to-peer systems. The reputation scheme helps building trust between peers based on their past experiences and feedbacks from other peers. Our system is novel in that it is able to detect not only malicious peers sending inauthentic files but also malicious peers that are lying in their feedbacks. To detect those peers, we introduce the new concept of suspicious transactions. The simulation results show that the proposed scheme is able to effectively detect malicious peers and isolate them from the system, hence reducing the amount of inauthentic uploads and increasing peers´ satisfaction.
Keywords :
computer network management; feedback; peer-to-peer computing; telecommunication security; decentralized peer-to-peer system; malicious peer detection; reputation management scheme; reputation-based peer-to-peer system; suspicious transaction; Control systems; Detectors; Feedback; Peer to peer computing; Protection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference, 2005. CCNC. 2005 Second IEEE
Print_ISBN :
0-7803-8784-8
Type :
conf
DOI :
10.1109/CCNC.2005.1405140
Filename :
1405140
Link To Document :
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