Labeled VoIP Data-set for Intrusion Detection Evaluation

Mohamed Nassar 1, * State Radu 2 Olivier Festor 1
* Auteur correspondant
1 MADYNES - Management of dynamic networks and services
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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 de- tail 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.
Type de document :
Communication dans un congrès
EUNICE 2010, Jun 2010, Trondheim, Norway. pp.97-106, 2010
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Soumis le : lundi 5 juillet 2010 - 17:53:51
Dernière modification le : jeudi 11 janvier 2018 - 06:19:50
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  • HAL Id : inria-00497735, version 1


Mohamed Nassar, State Radu, Olivier Festor. Labeled VoIP Data-set for Intrusion Detection Evaluation. EUNICE 2010, Jun 2010, Trondheim, Norway. pp.97-106, 2010. 〈inria-00497735〉



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