Comparative analysis of intrusion detection approaches

Ahmad, I. and Abdullah, A.B. and Alghamdi, A.S. (2010) Comparative analysis of intrusion detection approaches. In: UNSPECIFIED.

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Abstract

Information security is a serious issue especially in present age because a solo attack may cause a big harm in computer and network systems. Several intrusion detection approaches exist to tackle this critical issue but the problem is which one is more suitable in the field of intrusion. Further, these approaches are used in intrusion detection systems. Therefore, in this paper, we evaluated them so that a suitable approach may be advised to intrusion detection systems. This work describes the concepts, tool and methodology being used for evaluation analysis of different intrusion detection approaches using multi-criteria decision making technique. Moreover, conclusion on results is made and direction for future works is presented. © 2010 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 7; Conference of 12th UKSim International Conference on Modelling and Simulation, UKSim 2010 ; Conference Date: 24 March 2010 Through 26 March 2010; Conference Code:80938
Uncontrolled Keywords: Artificial Neural Network; Detection rates; Intrusion detection approaches; Intrusion detection systems; Multi-criteria, Computer crime; Computer simulation; Decision making; Neural networks, Intrusion detection
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:49
Last Modified: 09 Nov 2023 15:49
URI: https://khub.utp.edu.my/scholars/id/eprint/1208

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