Attack-Graph Threat Modeling Assessment of Ambulatory Medical Devices

dc.contributor.authorLuckett, Patrick
dc.contributor.authorMcDonald, Jeffrey
dc.contributor.authorGlisson, William
dc.date.accessioned2016-12-29T01:23:50Z
dc.date.available2016-12-29T01:23:50Z
dc.date.issued2017-01-04
dc.description.abstractThe 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. \
dc.format.extent10 pages
dc.identifier.doihttps://doi.org/10.24251/HICSS.2017.441
dc.identifier.isbn978-0-9981331-0-2
dc.identifier.urihttp://hdl.handle.net/10125/41599
dc.language.isoeng
dc.relation.ispartofProceedings of the 50th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAttack Graph
dc.subjectMedical Device
dc.subjectRisk
dc.titleAttack-Graph Threat Modeling Assessment of Ambulatory Medical Devices
dc.typeConference Paper
dc.type.dcmiText

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