The Intrusion Detection Systems (IDS), applied with visual analysis has now become an advantage for intrusion detection. With more information systems being attacked and attack techniques evolving, the task of intrusion detections is becoming an increasingly difficult job in current scenario. Efficient information visualization is an important portion required for detection of intruders. In this paper a survey on using some of the visualization techniques in intrusion detection system is presented.
Intrusion Detection Systems (IDS) can be defined with various detection techniques. Misuse based and anomaly based detection techniques are some of the techniques used for identifying the known and unknown attacks. This paper shows a survey on both misuse and anomaly based detection techniques for IDS where it is observed that these two techniques when applied at a time gives better results than when applied individually on a particular dataset and it has been depicted in this paper by considering a case study where decision support system and expert rule based approach are applied on KDD 99 dataset for observing both normal and abnormal behaviour of the data.
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