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Intrusion Detection Systems (IDSs) have been developed for many years, but in general they fall short in efficiently detecting zero-day attacks. A promising approach to this problem is to apply linear data transformation and anomaly detection techniques on top of known attack signatures that convey contextual properties. The linear data transformation technique relies on several discriminant functions,...
There is a considerable interest in developing techniques to detect zero-day (unknown) cyber-attacks, and considering context is a promising approach. This paper describes a contextual misuse approach combined with an anomaly detection technique to detect zero-day cyber attacks. The contextual misuse detection utilizes similarity with attack context profiles, and the anomaly detection technique identifies...
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