Rabbit and Tortoise Optimization Algorithm with Mutual Information Based Adaptive Strategy for Network Intrusion Detection

In the modern era of highly interconnectedness, data and information are constantly transmitted over networks. Ensuring the security of confidential information and protecting computer systems from network threats has become very important. Therefore, it is important to develop an effective network...

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Veröffentlicht in:	Programming and computer software Jg. 51; H. 6; S. 359 - 372
Hauptverfasser:	Bhuvaneswari, T., Soundar, K. Ruba, Sekar, R. Chandra Guru
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Moscow Pleiades Publishing 01.12.2025 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Artificial Intelligence Classification Computer Science Cybersecurity Datasets Feature selection Intrusion detection systems Machine learning Methods Missing data Neural networks Operating Systems Optimization Optimization algorithms Optimization techniques Software Engineering Software Engineering/Programming and Operating Systems Support vector machines wrapper based feature selection rabbit and tortoise optimization algorithm (RTOA) mutual information (MI) metaheuristic optimization algorithm network intrusion detection system (NIDS) feature selection (FS)
ISSN:	0361-7688, 1608-3261
Online-Zugang:	Volltext
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