NEAE: NeuroEvolution AutoEncoder for anomaly detection in internet traffic data

Abnormal behaviors degrade overall system efficiency and may lead to system suspension. Extensive academic research has focused on anomaly detection across various sectors, including industrial, information security, and artificial intelligence. In this study, we propose a NeuroEvolution AutoEncoder...

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Veröffentlicht in:	The Journal of supercomputing 2024-03, Vol.80 (5), p.6746-6777
Hauptverfasser:	Hashim, Ali Jameel, Balafar, M. A., Tanha, Jafar
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormalities Anomalies Artificial intelligence Communications traffic Compilers Computer Science Cybersecurity Datasets Genetic algorithms Internet of Things Interpreters Performance measurement Processor Architectures Programming Languages Wireless communications
Online-Zugang:	Volltext
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