Addressing Cross-Dataset Data-Drift in IoT Intrusion Detection via Replay-Guided Adaptation with Source Retention
Deep-learning-based intrusion detection systems for Internet-of-Things (IoT) environments often achieve high performance when training and testing are performed within the same dataset. However, their performance can degrade substantially when deployed on heterogeneous datasets with different traffic characteristics, f...