A few-shot GNN method that needs only one labeled malicious edge per attack family achieves near-supervised attack detection on two NetFlow benchmarks.
In: 2023 7th Cyber Security in Networking C onference (CSNet)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.