most citedAn Investigation into the Performance of Non-Contrastive Self-Supervised Learning Methods for Network Intrusion Detection

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CR2025★ 2 cited

An Investigation into the Performance of Non-Contrastive Self-Supervised Learning Methods for Network Intrusion Detection

Hamed Fard, Tobias Schalau, Gerhard Wunder

Network intrusion detection, a well-explored cybersecurity field, has predominantly relied on supervised learning algorithms in the past two decades. However, their limitations in…