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IFIP
2010
Springer

Labeled VoIP Data-Set for Intrusion Detection Evaluation

8 years 8 months ago
Labeled VoIP Data-Set for Intrusion Detection Evaluation
Abstract. VoIP has become a major application of multimedia communications over IP. Many initiatives around the world focus on the detection of attacks against VoIP services and infrastructures. Because of the lack of a common labeled data-set similarly to what is available in TCP/IP network-based intrusion detection, their results can not be compared. VoIP providers are not able to contribute their data because of user privacy agreements. In this paper, we propose a framework for customizing and generating VoIP traffic within controlled environments. We provide a labeled data-set generated in two types of SIP networks. Our data-set is composed of signaling and other protocol traces, call detail records and server logs. By this contribution we aim to enable the works on VoIP anomaly and intrusion detection to become comparable through its application to common datasets.
Mohamed Nassar, Radu State, Olivier Festor
Added 13 Feb 2011
Updated 13 Feb 2011
Type Journal
Year 2010
Where IFIP
Authors Mohamed Nassar, Radu State, Olivier Festor
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