"New Technique to Prevent Medical Imaging Cyberthreats"

Researchers at Ben-Gurion University of the Negev developed a new Artificial Intelligence (AI) technique to improve the protection of medical devices against unusual or anomalous instructions, as well as human and system errors. If medical devices such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and ultrasound machines were to receive malicious operating instructions, it could result in harm to a patient's wellbeing through radiation overexposure, device component manipulation, image manipulation, and more. The researchers' technique applies AI to analyze the instructions sent from a host PC to a medical device's physical components to detect anomalous instructions. The technique involves the use of a dual-layer architecture that focuses on different types of anomalous instructions. This article continues to discuss how the new AI technique protects medical devices from malicious operating instructions in a cyberattack and the evaluation of the architecture's anomaly detection performance. 

ITN reports "New Technique to Prevent Medical Imaging Cyberthreats"