Detection of DDoS Attacks in Networks Using Deep Learning Based on Long Short-Term Memory (LSTM)
Reconstructed HTTP traffic from the UNSW-NB15 dataset was processed through proxy labeling, data cleaning, feature normalization, and sliding-window transformation to convert flow-level records into temporal sequences, and temporal representation improves detection of bursty HTTP Flood behavior.