Monitoring SIP Traffic Using Support Vector Machines
RAID '08 Proceedings of the 11th international symposium on Recent Advances in Intrusion Detection
VoIP: A comprehensive survey on a promising technology
Computer Networks: The International Journal of Computer and Telecommunications Networking
On lightweight mobile phone application certification
Proceedings of the 16th ACM conference on Computer and communications security
Managing risks at runtime in VoIP networks and services
AIMS'10 Proceedings of the Mechanisms for autonomous management of networks and services, and 4th international conference on Autonomous infrastructure, management and security
Detecting near-duplicate SPITs in voice mailboxes using hashes
ISC'11 Proceedings of the 14th international conference on Information security
SPRT for SPIT: using the sequential probability ratio test for spam in VoIP prevention
AIMS'12 Proceedings of the 6th IFIP WG 6.6 international autonomous infrastructure, management, and security conference on Dependable Networks and Services
Outbound SPIT filter with optimal performance guarantees
Computer Networks: The International Journal of Computer and Telecommunications Networking
Review: VoIP: State of art for global connectivity-A critical review
Journal of Network and Computer Applications
SPIDER: A platform for managing SIP-based Spam over Internet Telephony SPIT
Journal of Computer Security
Journal of Computer Security
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As voice over IP gains popularity, it is easy to imagine that Internet hacking and other security problems we currently face with email spam will attack the VoIP environment. In contrast to email protocols represented by SMTP, VoIP does not tolerate any negotiation in its signaling steps or screening content due to the delay limitation. Thus, it is difficult to implement voice spam protection or control algorithms by just mimicking popular email spam protection algorithms. This article proposes a voice spam control algorithm called progressive multi gray-leveling (PMG) that fits in VoIP settings. PMG progressively calculates the "gray level" of a caller and determines whether the call will be connected or blocked based on previous call patterns. Based on experiments, it turns out that PMG can learn a spammer's calling pattern and block massive spam attacks from them effectively