DCNNBiLSTM: An Efficient Hybrid Deep Learning-Based Intrusion Detection System
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Elsevier BV
Reference38 articles.
1. Intrusion detection system: a comprehensive review;Liao;J. Netw. Comput. Appl.,2013
2. Developing a security testbed for industrial internet of things;Al-Hawawreh;IEEE Internet Things J.,2020
3. A new approach to intrusion detection using artificial neural networks and fuzzy clustering;Wang;Expert Syst. Appl.,2010
4. Survey on sdn based network intrusion detection system using machine learning approaches;Sultana;Peer-to-Peer Network. Appl.,2019
5. A deep learning-based multi-agent system for intrusion detection;Louati;SN Appl. Sci.,2020
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