Cyber Intrusion Detection System Based on a Multiobjective Binary Bat Algorithm for Feature Selection and Enhanced Bat Algorithm for Parameter Optimization in Neural Networks

Cyber Intrusion Detection System Based on a Multiobjective Binary Bat Algorithm for Feature Selection and Enhanced Bat Algorithm for Parameter Optimization in Neural Networks

The staggering development of cyber threats has propelled experts, professionals and specialists in the field of security into the development of more dependable protection systems, including effective intrusion detection system (IDS) mechanisms which are equipped for boosting accurately detected th...

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Bibliographic Details
Main Authors: Waheed Ali H. M. Ghanem, Sanaa Abduljabbar Ahmed Ghaleb, Aman Jantan, Abdullah B. Nasser, Sami Abdulla Mohsen Saleh, Amir Ngah, Arifah Che Alhadi, Humaira Arshad, Abdul-Malik H. Y. Saad, Abiodun Esther Omolara, Yousef A. Baker El-Ebiary, Oludare Isaac Abiodun
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Intrusion detection system (IDS)
bat algorithm (BAT)
metaheuristic algorithm (MA)
feature selection (FS)
multi-objective optimization (MOO)
multilayer perceptron (MLP)
Online Access:https://ieeexplore.ieee.org/document/9832899/

Internet

https://ieeexplore.ieee.org/document/9832899/

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