NOVEL HYBRID SEQ2SEQ-CONVLSTM MODEL NETWORK INTRUSION DETECTION
DOI:
https://doi.org/10.48047/4v1nw584Keywords:
Network Intrusion Detection, Deep Learning, Seq2Seq Model, ConvLSTM, Cyber Security, Hybrid Neural NetworkAbstract
The rapid growth of internet-based services and connected devices has significantly increased the risk of cyber attacks and unauthorized network activities. Traditional intrusion detection systems often fail to identify complex and evolving threats due to limited feature extraction capability and low adaptability. This paper presents a hybrid deep learning framework for network intrusion detection
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