Graph neural network-based computer network anomaly detection and algorithm efficiency evaluation
Computer network security is a critical concern in the era of increasing cyber threats. Traditional intrusion detection systems rely on handcrafted rules and statistical features that fail to capture the complex topological relationships inherent in network traffic. This paper proposes a graph neural network (GNN)-base...