DocumentCode :
3008553
Title :
An Empirical Study of Collusion Behavior in the Maze P2P File-Sharing System
Author :
Lian, Qiao ; Zhang, Zheng ; Yang, Mao ; Zhao, Ben Y. ; Dai, Yafei ; Li, Xiaoming
Author_Institution :
Microsoft Res. Asia, Beijing
fYear :
2007
fDate :
25-27 June 2007
Firstpage :
56
Lastpage :
56
Abstract :
Peer-to-peer networks often use incentive policies to encourage cooperation between nodes. Such systems are generally susceptible to collusion by groups of users in order to gain unfair advantages over others. While techniques have been proposed to combat Web spam collusion, there are few measurements of real collusion in deployed systems. In this paper, we report analysis and measurement results of user collusion in Maze, a large-scale peer-to-peer file sharing system with a non-net-zero point-based incentive policy. We search for colluding behavior by examining complete user logs, and incrementally refine a set of collusion detectors to identify common collusion patterns. We find collusion patterns similar to those found in Web spamming. We evaluate how proposed reputation systems would perform on the Maze system. Our results can help guide the design of more robust incentive schemes.
Keywords :
peer-to-peer computing; Web spam collusion; collusion behavior; maze P2P file-sharing system; nonnet-zero point-based incentive policy; peer-to-peer networks; Asia; Communication system traffic control; Detectors; Embedded software; Incentive schemes; Large-scale systems; Peer to peer computing; Performance evaluation; Resource management; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems, 2007. ICDCS '07. 27th International Conference on
Conference_Location :
Toronto, ON
ISSN :
1063-6927
Print_ISBN :
0-7695-2837-3
Electronic_ISBN :
1063-6927
Type :
conf
DOI :
10.1109/ICDCS.2007.84
Filename :
4268209
Link To Document :
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