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A Multi-Stage Network Anomaly Detection Method for Improving Efficiency and Accuracy

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DOI: 10.4236/jis.2012.31003    4,702 Downloads   8,376 Views   Citations


Because of an explosive growth of the intrusions, necessity of anomaly-based Intrusion Detection Systems (IDSs) which are capable of detecting novel attacks, is increasing. Among those systems, flow-based detection systems which use a series of packets exchanged between two terminals as a unit of observation, have an advantage of being able to detect anomaly which is included in only some specific sessions. However, in large-scale networks where a large number of communications takes place, analyzing every flow is not practical. On the other hand, a timeslot-based detection systems need not to prepare a number of buffers although it is difficult to specify anomaly communications. In this paper, we propose a multi-stage anomaly detection system which is combination of timeslot-based and flow-based detectors. The proposed system can reduce the number of flows which need to be subjected to flow-based analysis but yet exhibits high detection accuracy. Through experiments using data set, we present the effectiveness of the proposed method.

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The authors declare no conflicts of interest.

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Y. Waizumi, H. Tsunoda, M. Tsuji and Y. Nemoto, "A Multi-Stage Network Anomaly Detection Method for Improving Efficiency and Accuracy," Journal of Information Security, Vol. 3 No. 1, 2012, pp. 18-24. doi: 10.4236/jis.2012.31003.


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