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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: Ghanem, Waheed Ali H. M., Ahmed Ghaleb, Sanaa Abduljabbar, Jantan, Aman, Nasser, Abdullah B., Saleh, Sami Abdulla Mohsen, Ngah, Amir, Che Alhadi, Arifah, Arshad, Humaira, Saad, Abdul-Malik H. Y., Omolara, Abiodun Esther, El-Ebiary, Yousef A. Baker, Abiodun, Oludare Isaac
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/104411/1/Abdul-MalikHaider2022_CyberIntrusionDetectionSystemBased.pdf
http://eprints.utm.my/104411/
http://dx.doi.org/10.1109/ACCESS.2022.3192472
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http://eprints.utm.my/104411/1/Abdul-MalikHaider2022_CyberIntrusionDetectionSystemBased.pdf
http://eprints.utm.my/104411/
http://dx.doi.org/10.1109/ACCESS.2022.3192472

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