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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Veröffentlicht in:	Expert systems with applications Jg. 273; S. 126854
Hauptverfasser:	Narmadha, S., Balaji, N.V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 10.05.2025
Schlagworte:	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
Online-Zugang:	Volltext
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