Zainal, Anazida and Maarof, Mohd Aizaini and Shamsuddin, Siti Mariyam (2006) Research Issues in Adaptive Intrusion Detection. In: Postgraduate Annual Research Seminar 2006 (PARS 2006), 24 - 25 Mei 2006, Postgraduate Studies Department FSKSM, UTM Skudai.
A secured network is a must for an e-commerce application to be fully utilized by users. Firewall and encryption are proven to be inadequate. Intrusion detection system (IDS) is put in place as a second line of defense. Nevertheless, the existing IDS produces a high false alarm rate. Literature has shown that investigation towards reducing false alarm rate has shifted from accurate classifier to the adaptive model of normality. The purpose of this paper is to identify and discuss the research issues in adaptive intrusion detection and to propose a model for it.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||adaptive IDS, feature selection, anomaly detection and classifier|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Computer Science and Information System (Formerly known)|
|Deposited By:||Anazida Zainal|
|Deposited On:||11 Jun 2007 08:56|
|Last Modified:||01 Jun 2010 03:08|
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