Alexia-Mădălina Cîrstea

Benchmark Accuracy Is Not Robustness: A Cross-Domain Study of ML-Based Intrusion Detection across IoT and Enterprise Traffic

Machine learning-based intrusion detection systems often achieve strong performance on standard benchmarks, yet fail when deployed in a different environment. This paper investigates how well ML-based detectors transfer between IoT and enterprise traffic, using IoT-23 and UNSW-NB15 as two heterogeneous domains. Our exp...