Hybrid Chaotic Zebra Optimization Algorithm and Long Short-Term Memory for Cyber Threats Detection

Cyber Threat Detection (CTD) is subject to complicated and rapidly accelerating developments. Poor accuracy, high learning complexity, limited scalability, and a high false positive rate are problems that CTD encounters. Deep Learning defense mechanisms aim to build effective models for threat detec...

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Bibliographic Details
Published in:	IEEE access Vol. 12; pp. 93235 - 93260
Main Authors:	Amin, Reham, El-Taweel, Ghada, Ali, Ahmed F., Tahoun, Mohamed
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Algorithms Classification Classification algorithms Complexity Computer security Cyber security Deep learning Effectiveness Feature extraction feature selection Intrusion detection Long short term memory Machine learning Machine learning algorithms Optimization Optimization algorithms Optimization methods Particle swarm optimization Performance evaluation Recall Swarm intelligence Threat assessment zebra optimization algorithm
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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