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Two-Stage Deep Learning for Intrusion Detection by pallavimuttineni is a document available to read on EtoBox.

What is Two-Stage Deep Learning for Intrusion Detection about?

The document presents a novel two-stage deep learning model, LSTM-AE, for network intrusion detection, developed by students MD. Yasmeen, MD. Samreen, and M. Tharuni under the guidance of Mr. L. Vijay Kumar at Malla Reddy Engineering College for Women. The model combines Long Short-Term Memory (LSTM) and Auto-Encoders (AE) to effectively identify and classify cyber-attacks using publicly available datasets. The research highlights the limitations of traditional methods and demonstrates the effectiveness of

Author

pallavimuttineni

Language

EN