  The continued integration of technology into all aspects of society stresses
the need to identify and understand the risk associated with assimilating new
technologies. This necessity is heightened when technology is used for medical
purposes like ambulatory devices that monitor a patient's vital signs. This
integration creates environments that are conducive to malicious activities.
The potential impact presents new challenges for the medical community.
  Hence, this research presents attack graph modeling as a viable solution to
identifying vulnerabilities, assessing risk, and forming mitigation strategies
to defend ambulatory medical devices from attackers. Common and frequent
vulnerabilities and attack strategies related to the various aspects of
ambulatory devices, including Bluetooth enabled sensors and Android
applications are identified in the literature. Based on this analysis, this
research presents an attack graph modeling example on a theoretical device that
highlights vulnerabilities and mitigation strategies to consider when designing
ambulatory devices with similar components.
