BiLSTM-CNN Hybrid Intrusion Detection System for IoT Application
Sapna Sadhwani,
Mohammed Abdul Hafeez Khan,
Raja Muthalagu
et al.
Abstract:Intrusions in computer networks have increased significantly in recent times and network security mechanisms are not being developed at the same pace at which intrusion attacks are evolving. Therefore, a need has arisen to improve intrusion detection systems (IDS) to make network secure. This research focuses on anomaly-based IDS for security assaults. In this research, deep learning techniques such as Bi-directional Long Short-Term Memory (Bi-LSTM) and Convolutional Neural Networks (CNN) are implemented and s… Show more
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