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

被引：1
|
作者：
Wahab, Siti Norwahidayah [1 ]
Sulaiman, Noor Suhana [1 ]
Aziz, Noraniah Abdul [1 ]
Zakaria, Nur Liyana [1 ]
Abd Aziz, Ainal Amirah [1 ]
机构：
[1] Univ Coll TATI, Fac Comp Media & Technol Management, Terengganu 24000, Malaysia
来源：
INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING | 2022年 / 14卷 / 03期
关键词：
Artificial neural network; magnetic optimization algorithm; intrusion detection system; KDD Cup 99; classification;
D O I：
10.30880/ijie.2022.14.03.016
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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. This research study focuses on improving an IDS detection performance by combining an 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.
引用
收藏
页码：150 / 156
页数：7
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