Improved network anomaly detection system using optimized autoencoder − LSTM

Intrusion detection (ID) gives security in network traffic or system activities monitors to detect suspicious activities, behavior, potential attacks, or unauthorized access. IDs are crucial in cybersecurity, as organizations identify and respond to threats before they cause harm. The anomaly-based...

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Vydané v:	Expert systems with applications Ročník 273; s. 126854
Hlavní autori:	Narmadha, S., Balaji, N.V.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 10.05.2025
Predmet:	Anomaly detection Autoencoder Deep learning Intrusion detection system Long short-term memory Particle swarm optimization Deep learning Long short-term memory Autoencoder Intrusion detection system Particle swarm optimization Anomaly detection
ISSN:	0957-4174
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