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An Overview of IDS Using Anomaly Detection
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Author(s): Lior Rokach (Ben-Gurion University of the Negev, Israel)and Yuval Elovici (Ben-Gurion University of the Negev, Israel)
Copyright: 2007
Pages: 11
Source title:
Cyber Warfare and Cyber Terrorism
Source Author(s)/Editor(s): Lech Janczewski (University of Auckland, New Zealand)and Andrew Colarik (AndrewColarik.com, USA)
DOI: 10.4018/978-1-59140-991-5.ch038
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Abstract
Intrusion detection is the process of monitoring and analyzing the events occurring in a computer system in order to detect signs of security problems. The problem of intrusion detection can be solved using anomaly detection techniques. For instance, one is given a set of connection data belonging to different classes (normal activity, different attacks) and the aim is to construct a classifier that accurately classifies new unlabeled connections data. Clustering methods can be used to detect anomaly in data which might implies intrusion of a new type. This chapter gives a critical summary of anomaly detection research for intrusion detection. This chapter surveys a list of research projects that apply anomaly detection techniques to intrusion detection. Finally some directions for research are given.
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