Indonesian Journal of Electrical Engineering and Computer Science
Vol 17, No 2: February 2020

Network intrusion detection system using immune-genetic algorithm (IGA)

Hamizan Suhaimi (Universiti Teknologi MARA)
Saiful Izwan Suliman (Universiti Teknologi MARA)
Ismail Musirin (Universiti Teknologi MARA)
Afdallyna Harun (Universiti Teknologi MARA)
Roslina Mohamad (Universiti Teknologi MARA)
Murizah Kassim (Universiti Teknologi MARA)
Shahrani Shahbudin (Universiti Teknologi MARA)



Article Info

Publish Date
01 Feb 2020

Abstract

Network security is an important aspect in maintaining computer network systems and personal information from being illegally accessed by third parties. The major problem that frequently occurs in computer network systems is the failure in detecting possible network-attacks. Apart from that, the process of recognizing the type of attack that occurs is very crucial as it will determine the elimination process that should take place to counter the intrusion. This paper proposes the application of standard Genetic Algorithm (GA) that combines with immune algorithm process to enhance the computer system’s capability in recognizing possible intrusion occurrence in a computer system. Simulation was conducted numerous times to test the effectiveness of the proposed intrusion detection system by manipulating the parameter values for genetic operators utilized in GA. The effectiveness of the proposed method is shown in the gathered results and the analysis conducted further supports and proves that Immune Genetic Algorithm (IGA) has the capability to predict the occurrence of intrusion in computer network.

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