Communications of the ACM
Choosing reputable servents in a P2P network
Proceedings of the 11th international conference on World Wide Web
A reputation-based approach for choosing reliable resources in peer-to-peer networks
Proceedings of the 9th ACM conference on Computer and communications security
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Decentralized Trust Management
Decentralized Trust Management
Socio-technical defense against voice spamming
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
A survey of trust and reputation systems for online service provision
Decision Support Systems
Exploring Anti-Spam Models in Large Scale VoIP Systems
ICDCS '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems
Analysis of techniques for protection against spam over internet telephony
EUNICE'07 Proceedings of the 13th open European summer school and IFIP TC6.6 conference on Dependable and adaptable networks and services
A policy framework for personalized and role-based SPIT prevention
Proceedings of the 3rd International Conference on Principles, Systems and Applications of IP Telecommunications
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The prevention of Spam over IP telephony (SPIT) is one of the greatest challenges for future large-scale deployments of VoIP telephony solutions. Some useful information for detecting SPIT calls is only available at the caller's VoIP provider. Recent approaches therefore suggest the signalling of such information among providers. However, there is currently no way for a receiving provider to assess the trustwortiness or the semantics of SPIT-related information received. Our approach tackles this problem by applying a provider-level reputation system, based on SPIT tags assigned to outgoing SIP messages by the caller's provider. The system provides an incentive to tag outgoing calls correctly, and it translates tags with arbitrary semantics into meaningful SPIT probabilities. We show analytically that our system significantly improves the receiving provider's assessment of SPIT tags.