A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Managing trust in a peer-2-peer information system
Proceedings of the tenth international conference on Information and knowledge management
A reputation-based approach for choosing reliable resources in peer-to-peer networks
Proceedings of the 9th ACM conference on Computer and communications security
P-Grid: A Self-Organizing Access Structure for P2P Information Systems
CooplS '01 Proceedings of the 9th International Conference on Cooperative Information Systems
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
A reputation-based trust model for peer-to-peer ecommerce communities [Extended Abstract]
Proceedings of the 4th ACM conference on Electronic commerce
P2P '01 Proceedings of the First International Conference on Peer-to-Peer Computing
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
A Reputation Management System in Structured Peer-to-Peer Networks
WETICE '05 Proceedings of the 14th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprise
A reputation-based trust management system for P2P networks
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
An Empirical Study of Collusion Behavior in the Maze P2P File-Sharing System
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
Treat-before-trick: Free-riding prevention for BitTorrent-like peer-to-peer networks
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
3PGCIC '10 Proceedings of the 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
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In this paper, we discuss the question of removing fake multimedia content files, intentionally manipulated by a group of attackers. By employing the un-biased collective intelligence of participating P2P peer-to-peer nodes, we identify and remove fake multimedia content files based on the reputation management. The proposed scheme determines the reputation value according to the trustworthiness along with confidence of multimedia content files, which are statistically drawn by collectively relating the decision making of individual peers about each multimedia content file. To verify this, we simulate the detection and recovery of the proposed reputation management that employs K-means and LBG clustering algorithms over colluded attackers.