Algorithms, games, and the internet
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
SIP: Understanding the Session Initiation Protocol, Second Edition
SIP: Understanding the Session Initiation Protocol, Second Edition
Challenges in Securing Voice over IP
IEEE Security and Privacy
Algorithmic Game Theory
Exploring Anti-Spam Models in Large Scale VoIP Systems
ICDCS '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems
Spamalytics: an empirical analysis of spam marketing conversion
Proceedings of the 15th ACM conference on Computer and communications security
The complexity of computing a Nash equilibrium
Communications of the ACM - Inspiring Women in Computing
An Adaptive Policy-Based Approach to SPIT Management
ESORICS '08 Proceedings of the 13th European Symposium on Research in Computer Security: Computer Security
OntoSPIT: SPIT management through ontologies
Computer Communications
Voice-over-IP Security: Research and Practice
IEEE Security and Privacy
How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation
SP '10 Proceedings of the 2010 IEEE Symposium on Security and Privacy
ESORICS'10 Proceedings of the 15th European conference on Research in computer security
ASPF: Adaptive anti-SPIT Policy-based Framework
ARES '11 Proceedings of the 2011 Sixth International Conference on Availability, Reliability and Security
Internet Communications Using SIP: Delivering VoIP and Multimedia Services with Session Initiation Protocol
Formal analysis for robust anti-SPIT protection using model checking
International Journal of Information Security
Progressive multi gray-leveling: a voice spam protection algorithm
IEEE Network: The Magazine of Global Internetworking
Game theory meets network security and privacy
ACM Computing Surveys (CSUR)
SPIDER: A platform for managing SIP-based Spam over Internet Telephony SPIT
Journal of Computer Security
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Spam over Internet Telephony SPIT is a potential source of disruption in Voice over IP VoIP systems. The use of anti-SPIT mechanisms, such as filters and audio CAPTCHA Completely Automated Public Turing Test to Tell Computer and Humans Apart can prevent unsolicited calls and lead to less unwanted traffic. In this paper, we present a game-theoretic model, in which the game is played between SPIT senders and internet telephony users. The game includes call filters and audio CAPTCHA, so as to classify incoming calls as legitimate or malicious. We show how the resulting model can be used to decide upon the trade-offs present in this problem and help us predict the SPIT sender's behavior. We also highlight the advantages in terms of SPIT call reduction of merely introducing CAPTCHA, and provide experimental verification of our results.