Session Based Hidden Markov Model for Network Anomaly Detection

  • Preetam U.Vernekar, Dr.Rekha Bhandarkar
  • Published 2016

Abstract

Due to tremendous growth in Information technology, lead in the increase of threats from attackers for several advantages. The most popular cyber threats occurring presently are Denial of Service and Distributed Denial of Service attacks. Intrusion Detection System is used to detect and prevent the malicious behaviour in network traffic where anomaly detection approach is used as the key element to discriminate normal and abnormal behavior of network traffic, hence referred as an intelligent security system. In this paper, Hidden Markov Model is used to detect potential anomalies in the network traffic which results in improved accuracy and maximizes detection rate.

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Cite this paper

@inproceedings{UVernekar2016SessionBH, title={Session Based Hidden Markov Model for Network Anomaly Detection}, author={Preetam U.Vernekar and Dr.Rekha Bhandarkar}, year={2016} }