Journal
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
Volume 60, Issue -, Pages 19-31Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jnca.2015.11.016
Keywords
Intrusion detection; Computer security; Anomaly detection; Classification; Clustering; Information theory
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Information and Communication Technology (ICT) has a great impact on social wellbeing, economic growth and national security in todays world. Generally, ICT includes computers, mobile communication devices and networks. ICT is also embraced by a group of people with malicious intent, also known as network intruders, cyber criminals, etc. Confronting these detrimental cyber activities is one of the international priorities and important research area. Anomaly detection is an important data analysis task which is useful for identifying the network intrusions. This paper presents an in-depth analysis of four major categories of anomaly detection techniques which include classification, statistical, information theory and clustering. The paper also discusses research challenges with the datasets used for network intrusion detection. (C) 2015 Elsevier Ltd. All rights reserved.
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