Originally published at: https://developer.nvidia.com/blog/applying-autoencoder-based-gnns-for-high-throughput-network-anomaly-detection-in-netflow-data/
As modern enterprise and cloud environments scale, the complexity and volume of network traffic increase dramatically. NetFlow is used to record metadata about the traffic flows traversing a network device such as a router, switch, or host. NetFlow data, essential for understanding network traffic, can be effectively modeled as graphs where edges capture properties such…