Medical device interoperability is an increasingly prevalent example of how computing and information technology will revolutionize and streamline medical care. The overarching goal of interoperable medical devices (IMDs) is increased safety, usability, decision support, and a decrease in false alarms and clinician cognitive workload. One aspect that has not been considered thus far is ensuring IMDs do not inadvertently harm patients in the presence of malicious adversaries. Security for medical devices has gained some traction in the recent years following some well-publicized attacks on individual devices, such as pacemakers and insulin pumps. This has resulted in solutions being proposed for securing these devices, usually in stand-alone mode. However, the introduction of interoperability makes medical devices increasingly connected and dependent on each other. Therefore, security attacks on IMDs becomes easier to mount in a stealthy manner with potentially devastating consequences. This work outlines our e↵ort in understanding the threats faced by IMDs, an important first step in eventually designing secure interoperability architectures. In this regard, we present: (1) a detailed attack graph-based analysis of threats on a specific interoperability environment based on providing a patient pain medication (PCA), under various levels of interoperability from simple data aggregation to fully closedloop control; (2) a description of the mitigation approaches possible for each of class of attack vectors identified; and (3) lessons learned from this experience which can be leveraged for improving existing IMD architectures from a security point-of-view. Our analysis demonstrates that even if we use provably safe medical systems in an interoperable setting with a safe interoperability engine, the presence of malicious behavior may render the entire setup unsafe for the patients, unless security is explicitly considered.
In a later work REF , the threats on a particular ICE were analyzed in the context of patient pain medication management.
Understanding the security of interoperable medical devices using attack graphs
HiCoNS '14
Computer Science