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Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique

I. , Ahmad and Azween, Abdullah (2010) Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique. [Citation Index Journal]

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Abstract

We can witness the growing interest of researchers in the field of intrusion detection because a single attack can easily cause a big harm to the computer or network system. A number of intrusion detection approaches are available to tackle this issue but it is hard to identity that which approach is most suitable. Therefore, we have addressed this issue in this paper that which approach should be adopted in intrusion detection systems. The current paper explains the concepts, tools and methodologies being used to evaluate different intrusion detection approaches by a multi-criteria decision making technique such as Analytical Hierarchy Process (AHP). The present study indicates that artificial neural network approach is most suitable to tackle the current issues of intrusion detection systems such as regular updating, detection rate, false positive, false negative, suitability and adaptability

Item Type:Citation Index Journal
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Academic Subject Three:petroleum engineering
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:2229
Deposited By: Assoc Prof Dr Azween Abdullah
Deposited On:21 May 2010 07:20
Last Modified:20 Mar 2017 01:59

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