An intrusion detection system based on hybrid of Artificial Neural Network (ANN) and Magnetic Optimization Algorithm (MOA). The International Journal of Integrated Engineering, 14 (3). pp. 150-156. ISSN 2229-838X (2022)
Abstract
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.
| Item Type: | Article |
|---|---|
| Keywords: | Artificial neural network, Magnetic optimization algorithm, Intrusion detection system, KDD Cup 99, Classification |
| Taxonomy: | By Subject > Computer & Mathematical Sciences > Computer Technology and Networking |
| Local Content Hub: | Subjects > Computer and Mathematical Sciences |
| Depositing User: | Eza Eliana Abdul Wahid |
| Date Deposited: | 21 Sep 2022 06:50 |
| Last Modified: | 21 Sep 2022 06:50 |
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