Unleashing the power of SDN and GNN for network anomaly detection: State‐of‐the‐art, challenges, and future directions
Archan Dhadhania,
Jitendra Bhatia,
Rachana Mehta
et al.
Abstract:Modern computer networks' increasing complexity and scale need serious attention towards network anomaly detection. Software‐defined networking (SDN) and graph neural networks (GNN) have emerged as promising approaches for anomaly detection due to their ability to capture dynamic network behavior and learn complex patterns from large‐scale network data. The amalgamation of SDN and GNN for network anomaly detection presents promising opportunities for improving the accuracy and efficiency of network anomaly det… Show more
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