A Composite Approach of Intrusion Detection Systems: Hybrid RNN and Correlation-Based Feature Optimization

Detection of intrusions is a system that is competent in detecting cyber-attacks and network anomalies. A variety of strategies have been developed for IDS so far. However, there are factors that they lack in performance, creating scope for further research. The current trend shows that the Deep Lea...

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Veröffentlicht in:	Electronics (Basel) 2022-11, Vol.11 (21), p.3529
Hauptverfasser:	Gautam, Sunil, Henry, Azriel, Zuhair, Mohd, Rashid, Mamoon, Javed, Abdul Rehman, Maddikunta, Praveen Kumar Reddy
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Anomalies Classification Classifiers Cybersecurity Datasets Decision trees Deep learning Genetic algorithms Hybrid systems Intrusion detection systems Machine learning Model accuracy Neural networks Optimization Optimization techniques Performance evaluation Recurrent neural networks Support vector machines
Online-Zugang:	Volltext
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