Gld-net: deep learning to detect ddos attack via topological and traffic feature fusion

HIGHLIGHTS

• who: Wei Guo et al. from the State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China have published the research: GLD-Net: Deep Learning to Detect DDoS Attack via Topological and Traffic Feature Fusion, in the Journal: Computational Intelligence and Neuroscience of 16/08/2022
• what: The authors propose a topological and flow feature-based deep learning method (GLD-Net) which simultaneously extracts flow and topological features from time-series flow data and exploits graph attention network (GAT) to mine correlations between non-Euclidean features to fuse flow and topological features. This study . . .
  

   

  

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