An Intrusion Detection System Based on Hybrid of Artificial Neural Network (ANN) and Magnetic Optimization Algorithm (MOA)

Intrusion Detection System is a type of security application that protects computer and network systems. A variety of techniques have been proposed to increase IDS accuracy. Thisresearch study focuses on improving an IDS detection performance by combiningan Artificial Neural Network (ANN) with a Mag...

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Vydané v:	International Journal of Integrated Engineering Ročník 14; číslo 3
Hlavní autori:	Wahab, Siti Norwahidayah, Sulaiman, Noor Suhana, Abdul Aziz, Noraniah, Zakaria, Nur Liyana, Abd Aziz, Ainal Amirah
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	01.01.2022
ISSN:	2229-838X, 2600-7916
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Popis
Shrnutí:	Intrusion Detection System is a type of security application that protects computer and network systems. A variety of techniques have been proposed to increase IDS accuracy. Thisresearch study focuses on improving an IDS detection performance by combiningan Artificial Neural Network (ANN) with a Magnetic Optimization Algorithm (MOA), with the goal of increasing the classification rate and achieving high detection accuracy in IDS. The suggested ANNMOA result demonstrated that it is possible to improve IDS accuracy by up to 98.5 percent
ISSN:	2229-838X 2600-7916
DOI:	10.30880/ijie.2022.14.03.016