Meta-Heuristic Optimization Algorithm-Based Hierarchical Intrusion Detection System

Numerous network cyberattacks have been launched due to inherent weaknesses. Network intrusion detection is a crucial foundation of the cybersecurity field. Intrusion detection systems (IDSs) are a type of machine learning (ML) software proposed for making decisions without explicit programming and...

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Veröffentlicht in:	Computers (Basel) Jg. 11; H. 12; S. 170
Hauptverfasser:	ElDahshan, Kamal A., AlHabshy, AbdAllah A., Hameed, Bashar I.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.12.2022
Schlagworte:	Algorithms Anomalies Archimedes optimization algorithm Artificial neural networks Back propagation Big Data Business metrics Classification Cybersecurity Cyberterrorism Data security Datasets Decision-making Deep learning extreme learning machine False alarms Feature selection grey wolf optimization Heuristic Heuristic methods intrusion detection system Intrusion detection systems Machine learning Mathematical optimization Methods Model accuracy Neural networks Optimization Prevention Software Support vector machines Egypt
ISSN:	2073-431X, 2073-431X
Online-Zugang:	Volltext
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