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Labeled VoIP Data-set for Intrusion Detection Evaluation

Mohamed Nassar 1, * State Radu 2 Olivier Festor 1 
* Corresponding author
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.
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https://hal.inria.fr/inria-00497735
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Submitted on : Monday, July 5, 2010 - 5:53:51 PM
Last modification on : Friday, February 26, 2021 - 3:28:04 PM
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  • HAL Id : inria-00497735, version 1

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

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