%0 Conference Proceedings
%T Flow-Based Detection of DNS Tunnels
%+ The Netherlands Organisation for Applied Scientific Research (TNO)
%+ AGH University of Science and Technology [Krakow, PL] (AGH UST)
%+ University of Twente
%+ University of Amsterdam [Amsterdam] = Universiteit van Amsterdam (UvA)
%A Ellens, Wendy
%A Żuraniewski, Piotr
%A Sperotto, Anna
%A Schotanus, Harm
%A Mandjes, Michel
%A Meeuwissen, Erik
%Z Part 6: Monitoring Mechanisms
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 7th International Conference on Autonomous Infrastructure (AIMS)
%C Barcelona, Spain
%Y Guillaume Doyen
%Y Martin Waldburger
%Y Pavel Čeleda
%Y Anna Sperotto
%Y Burkhard Stiller
%I Springer
%3 Emerging Management Mechanisms for the Future Internet
%V LNCS-7943
%P 124-135
%8 2013-06-25
%D 2013
%R 10.1007/978-3-642-38998-6_16
%K network flows
%K DNS tunneling
%K anomaly detection
%K cyber security
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X DNS tunnels allow circumventing access and security policies in firewalled networks. Such a security breach can be misused for activities like free web browsing, but also for command & control traffic or cyber espionage, thus motivating the search for effective automated DNS tunnel detection techniques. In this paper we develop such a technique, based on the monitoring and analysis of network flows. Our methodology combines flow information with statistical methods for anomaly detection. The contribution of our paper is twofold. Firstly, based on flow-derived variables that we identified as indicative of DNS tunnelling activities, we identify and evaluate a set of non-parametrical statistical tests that are particularly useful in this context. Secondly, the efficacy of the resulting tests is demonstrated by extensive validation experiments in an operational environment, covering many different usage scenarios.
%G English
%Z TC 6
%Z WG 6.6
%2 https://inria.hal.science/hal-01489962/document
%2 https://inria.hal.science/hal-01489962/file/978-3-642-38998-6_16_Chapter.pdf
%L hal-01489962
%U https://inria.hal.science/hal-01489962
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC6
%~ IFIP-AIMS
%~ IFIP-WG6-6
%~ IFIP-LNCS-7943