Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 2 Issue 2
A Review of Machine Learning based Anomaly Detection Techniques
Harjinder Kaur Gurpreet Singh Jaspreet Minhas
10.7753/IJCATR0202.1020
keywords : Intrusion, Anomaly, Machine learning, IDS
Intrusion detection is so much popular since the last two decades where intrusion is attempted to break into or misuse the system. It is mainly of two types based on the intrusions, first is Misuse or signature based detection and the other is Anomaly detection. In this paper Machine learning based methods which are one of the types of Anomaly detection techniques is discussed.
@artical{h222013ijcatr02021020,
Title = "A Review of Machine Learning based Anomaly Detection Techniques",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "2",
Issue ="2",
Pages ="185 - 187",
Year = "2013",
Authors ="Harjinder Kaur Gurpreet Singh Jaspreet Minhas"}
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