Title :
A Lightweight Reputation System for Bartering Exchange Based Incentive Mechanisms in Peer-to-Peer Systems
Author :
Zhang, Kan ; Antonopoulos, Nick
Author_Institution :
Comput. Sch., Univ. of Derby, Derby, UK
Abstract :
One of the major obstacles to the development of the Peer-to-Peer systems is the free riding problem, which significantly degrades the scalability, fault tolerance and content availability of the systems. Bartering exchange ring based incentive mechanism is one of the most common solutions to this problem. It organizes the users with asymmetric interests in the bartering exchange rings, enforcing the users to contribute while consuming. However, the rational nodes still have the opportunities to gain utility without providing complete services to the others. Moreover the malicious free riders could be fatal to all the bartering exchange rings. This paper proposes a reputation system that allows the users to identify free riders by fully utilizing their local transaction information. The identified free riders are recorded in the nodes´ individual blacklists and thus they will be isolated. The simulated results indicate that by applying the proposed reputation system, the request success rate can be noticeably increased since more rational nodes are forced to become cooperative and the malicious free riders can hardly participate in the bartering exchange rings.
Keywords :
incentive schemes; peer-to-peer computing; bartering exchange based incentive mechanisms; lightweight reputation system; local transaction information; malicious free riders; peer-to-peer systems; Bartering Exchange; Binomial Distribution; Blacklist; Peer-to-Peer; Reputation System;
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCOS), 2010 2nd International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-8828-5
Electronic_ISBN :
978-1-4244-4278-2
DOI :
10.1109/INCOS.2010.70