Abstract
The paper describes a new intrusion detection and prevention model, which is based on state machine-based formal grammar. This behavior-based model allows to detect computer attacks by means of normal network traffic modeling. The parameters of such normal network traffic are presented in a formal grammar. Each data packet that violates these parameters is considered as a part of intrusion and blocked by network filters. The described model was implemented in Intrusion Detection and Prevention System “Forpost” and successfully tested in a complex network environment.
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Serdiouk, V. (2005). Behavior-Based Model of Detection and Prevention of Intrusions in Computer Networks. In: Gorodetsky, V., Kotenko, I., Skormin, V. (eds) Computer Network Security. MMM-ACNS 2005. Lecture Notes in Computer Science, vol 3685. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11560326_29
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DOI: https://doi.org/10.1007/11560326_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29113-8
Online ISBN: 978-3-540-31998-6
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