Academic Journals Database
Disseminating quality controlled scientific knowledge

Globally Decoupled Reputations for Large Distributed Networks

ADD TO MY LIST
 
Author(s): Gayatri Swamynathan | Ben Y. Zhao | Kevin C. Almeroth | Haitao Zheng

Journal: Advances in Multimedia
ISSN 1687-5680

Volume: 2007;
Date: 2007;
Original page

ABSTRACT
Reputation systems help establish social control in peer-to-peer networks. To be truly effective, however, a reputation system should counter attacks that compromise the reliability of user ratings. Existing reputation approaches either average a peer's lifetime ratings or account for rating credibility by weighing each piece of feedback by the reputation of its source. While these systems improve cooperation in a P2P network, they are extremely vulnerable to unfair ratings attacks. In this paper, we recommend that reputation systems decouple a peer's service provider reputation from its service recommender reputation, thereby, making reputations more resistant to tampering. We propose a scalable approach to system-wide decoupled service and feedback reputations and demonstrate the effectiveness of our model against previous nondecoupled reputation approaches. Our results indicate that decoupled approache significantly improves reputation accuracy, resulting in more successful transactions. Furthermore, we demonstrate the effectiveness and scalability of our decoupled approach as compared to PeerTrust, an alternative mechanism proposed for decoupled reputations. Our results are compiled from comprehensive logs collected from Maze, a large file-sharing system with over 1.4 million users supporting searches on 226TB of data.

Tango Rapperswil
Tango Rapperswil

     Affiliate Program