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Cyber–physical systems (CPS) have been widely used in medical domains to provide high-quality patient treatment in complex clinical scenarios. With more medical devices being connected in industry, the security of medical cyber–physical systems has received much attention. Medical smartphones are one of the widely adopted facilities in the healthcare industry aiming to improve the quality of service for both patients and healthcare personnel. These devices construct an emerging CPS network architecture, called medical smartphone networks (MSNs). Similar to other distributed networks, MSNs also suffer from insider attacks, where the intruders have authorized access to the network resources, resulting in the leakage of patient information. In this work, we focus on the detection of malicious devices in MSNs and design a trust-based intrusion detection approach based on behavioral profiling. A node’s …