Scalarizing functions in solving multi-objective problem-an evolutionary approach

Vasumathi, D.; Thangavelu, S.

doi:10.11591/ijeecs.v13.i3.pp974-981

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…In recent years, Differential Evolution (DE) has become most prominent among other EAs in solving optimization problems [24][25]. Besides GA, DE also had been used for scalarizing functions on multi-objective problem to analyze its effect [26]. In IDS, DE widely use for AIS as an optimization technique where it was inspired by biological immune system [27].…”

Section: Methodsmentioning

confidence: 99%

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

Suhaimi

Suliman

Musirin

et al. 2020

IJEECS

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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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