Cyber-Med focuses on a thorough risk analysis of the vulnerabilities associated with medical devices and the development of a comprehensive detection framework that relies on a critical attack repository that we aim to create.

The Cyber-Med detection framework consist of two independent, but complementary detection approaches: one for known attacks, and the other for unknown attacks. These modules incorporate novel ideas and algorithms inspired by our team's domains of expertise, including cyber security, biomedical informatics, and advanced machine learning, and temporal data mining techniques. The establishment and maintenance of Cyber-Med’s up-to-date attack repository will strengthen the capabilities of Cyber-Med’s detection framework. The attack repository’s infrastructure will enable researchers to record, document, create, and simulate existing and new attacks on MDs, which, in turn, will maintain the detection framework’s capabilities by incorporating up-to-date knowledge regarding new attacks.