Open access
2026
A Representation-and-Scoring Framework for Zero-Day Malicious Traffic Detection Using Self-Supervised Graph Learning
A graph-based approach for zero-day malicious traffic detection is explored, showing that graph-based zero-day detection is both feasible and effective, but its success strongly depends on how traffic is segmented, represented, and evaluated.
Ali Yilmaz
· IEEE Access · 0 citations