IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Collision Module Integration in a Specific Graphic Engine for Terrain Visualization
IV '04 Proceedings of the Information Visualisation, Eighth International Conference
MailRank: using ranking for spam detection
Proceedings of the 14th ACM international conference on Information and knowledge management
A Trust-Aware, P2P-Based Overlay for Intrusion Detection
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Multi-agent Interaction Based Collaborative P2P System for Fighting Spam
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Approximate object location and spam filtering on peer-to-peer systems
Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
Privacy-Aware Collaborative Spam Filtering
IEEE Transactions on Parallel and Distributed Systems
A survey of attack and defense techniques for reputation systems
ACM Computing Surveys (CSUR)
A survey of peer-to-peer security issues
ISSS'02 Proceedings of the 2002 Mext-NSF-JSPS international conference on Software security: theories and systems
Multilateral decisions for collaborative defense against unsolicited bulk e-mail
iTrust'06 Proceedings of the 4th international conference on Trust Management
| Hi-index | 0.00 |
Spam is a significant problem in the day-to-day operations of large networks and information systems, as well as a common conduit for malicious software. The problem of detecting and eliminating spam remains of great interest, both commercially and in a research context. In this paper we present TRAP, a reputation-based open, decentralized and distributed system to aid in detecting unwanted e-mail. In TRAP, all participants are equal, all participants can see how the system works, and there is no reliance on any member or subset of members. This paper outlines the TRAP system itself and shows, through simulation, that the fundamental component of TRAP, a distributed low-overhead trust management system, is efficient and robust under the normal conditions present on the Internet.