A few-shot GNN method that needs only one labeled malicious edge per attack family achieves near-supervised attack detection on two NetFlow benchmarks.
IEEE Access (2023)
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Few Edges Are Enough: Few-Shot Network Attack Detection with Graph Neural Networks
A few-shot GNN method that needs only one labeled malicious edge per attack family achieves near-supervised attack detection on two NetFlow benchmarks.