Intrusion Detection Model Based on Selective Packet Sampling

Recent experimental work by Androulidakis and Papavassiliou has shown that it is possible to maintain a high level of network security while selectively inspecting packets for the existence of intrusive activity, thereby resulting in a minimal amount of processing overhead. In this paper, a statistical approach for the modeling of network intrusions as Markov processes is introduced. The theoretical findings presented here confirm the earlier experimental results of Androulidakis and Papavassiliou. A common notion about network intrusion detection systems is that every packet arriving into a network must be inspected in order to prevent intrusions.

Provided by: Springer Topic: Security Date Added: Jan 2012 Format: PDF

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