Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems

arXiv:2401.17136v2 Announce Type: replace
Abstract: The adoption of machine-learning-enabled systems in the healthcare domain is on the rise. While the use of ML in healthcare has several benefits, it also expands the threat surface of medical systems. We show that the use of ML in medical systems, particularly connected systems that involve interfacing the ML engine with multiple peripheral devices, has security risks that might cause life-threatening damage to a patient's health in case of adversarial interventions. These new risks …

adoption arxiv benefits connected cs.cr cs.cy cs.lg domain healthcare healthcare systems machine medical risks security security risks systems threat threat surface