NDLI: A Privacy-Preserving Entropy-Driven Framework for Tracing DoS Attacks in VoIP

Content Provider	IEEE Xplore Digital Library
Author	Tsiatsikas, Z. Geneiatakis, D. Kambourakis, G. Keromytis, A.D.
Copyright Year	2013
Description	Author affiliation: Joint Res. Center, Inst. of the Protection & Security Citizen, Ispra, Italy (Geneiatakis, D.) \|\| Dept. of Inform. & Comm. Syst. Eng., Univ. of the Aegean, Karlovassi, Greece (Tsiatsikas, Z.; Kambourakis, G.) \|\| Dept. of Comput. Sci., Columbia Univ., New York, NY, USA (Keromytis, A.D.)
Abstract	Network audit trails, especially those composed of application layer data, can be a valuable source of information regarding the investigation of attack incidents. Nevertheless, the analysis of log files of large volume is usually both complex (slow) and privacy-neglecting. Especially, when it comes to VoIP, the literature on how audit trails can be exploited to identify attacks remains scarce. This paper provides an entropy-driven, privacy preserving, and practical framework for detecting resource consumption attacks in VoIP ecosystems. We extensively evaluate our framework under various attack scenarios involving single and multiple assailants. The results obtained show that the proposed scheme is capable of identifying malicious traffic with a false positive alarm rate up to 3.5%.
Starting Page	224
Ending Page	229
File Size	154961
Page Count	6
File Format	PDF
ISBN	9780769550084
DOI	10.1109/ARES.2013.30
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-02
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Context Abnormal Traffic Anonymity DoS Entropy IP networks Artificial intelligence Computer crime Session Initiation Protocol
Content Type	Text
Resource Type	Article

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