A Systematic Review of Intrusion Detection Systems for Internet of Medical Things: Performance, Efficiency, Explainability, and Generalization

This academic review examines intrusion detection systems (IDS, software that monitors networks to catch unauthorized access attempts) designed specifically for Internet of Medical Things (IoT devices like connected medical equipment that collect and share health data). The paper analyzes these systems across four key areas: how well they catch attacks, how efficiently they run, whether humans can understand why they flag something as a threat, and whether they work reliably on new types of attacks they haven't seen before.