Open access
Oct 2026
Fast few-shot intrusion detection via depthwise meta-learning
Network intrusion detection systems (NIDS) increasingly rely on deep learning to cope with evolving cyber attacks, yet they typically require large amounts of labeled data per attack type and exhibit poor generalization to novel threats. Recent advances in meta-learning and few-shot learning have shown promise for alle...
H. Al-Ofeishat, Mamoon Obiedat, Ayooub Alsarhan et al.
· Discover Computing · 0 citations