S. M. T. F. A. Chowdhoury

Are Temporal Graph Based Intrusion Detection Results Trustworthy? A Dataset Audit and Evaluation Framework

Temporal Graph Neural Networks (TGNNs) have been increasingly applied to network intrusion detection (NID), with some studies reporting accuracy exceeding 99%. This paper argues that such performance can be an artifact of dataset construction flaws rather than genuine model capability. We conduct an empirical audit of...