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Hofstede, R.J. and Pras, A.
(2012)
Real-Time and Resilient Intrusion Detection: A Flow-Based Approach.
In: Proceedings of the 6th International Conference on Autonomous Infrastructure, Management, and Security (AIMS 2012), 4-8 Jun 2012, Luxembourg, Luxembourg.
pp. 109-112.
Lecture Notes in Computer Science 7279.
Springer Verlag.
ISSN 0302-9743
ISBN 978-3-642-30632-7
Full text available as:
Official URL: http://dx.doi.org/10.1007/978-3-642-30633-4_13  AbstractFlow-based intrusion detection will play an important role in high-speed networks, due to the stringent performance requirements of packet-based solutions. Flow monitoring technologies, such as NetFlow or IPFIX, aggregate individual packets into flows, requiring new intrusion detection algorithms to deal with the aggregated data. These algorithms are subject to constraints on real-time and accurate detection of intrusions, due to the nature of current flow monitoring technologies. In this paper, we propose a framework for flow-based intrusion detection, aiming to detect intrusions in real-time, and to be resilient against negative effects of attacks on monitoring systems. This research is still in its initial phase and will contribute to a Ph.D. thesis after four years.
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