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WattsUpDoc: Power Side Channels to Nonintrusively Discover Untargeted Malware on Embedded Medical Devices
Shane S. Clark, University of Massachusetts Amherst; Benjamin Ransford, University of Washington; Amir Rahmati, University of Michigan; Shane Guineau, University of Massachusetts Amherst; Jacob Sorber, Clemson University; Kevin Fu, University of Michigan; Wenyuan Xu, University of South Carolina and Zhejiang University
Medical devices based on embedded systems are ubiquitous in clinical settings. Increasingly, they connect to networks and run off-the-shelf operating systems vulnerable to malware. But strict validation requirements make it prohibitively difficult or costly to use anti-virus software or automated operating system updates on these systems. Our add-on monitoring system, WattsUpDoc, uses a traditionally undesirable side channel of power consumption to enable run-time malware detection. In our experiments, WattsUpDoc detected previously known malware with at least 94% accuracy and previously unknown malware with at least 85% accuracy on several embedded devices—detection rates similar to those of conventional malware-detection systems on PCs. WattsUpDoc detects malware without requiring hardware or software modifications or network communication.
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author = {Shane S. Clark and Benjamin Ransford and Amir Rahmati and Shane Guineau and Jacob Sorber and Wenyuan Xu and Kevin Fu},
title = {{WattsUpDoc}: Power Side Channels to Nonintrusively Discover Untargeted Malware on Embedded Medical Devices},
booktitle = {2013 USENIX Workshop on Health Information Technologies (HealthTech 13)},
year = {2013},
address = {Washington, D.C.},
url = {https://www.usenix.org/conference/healthtech13/workshop-program/presentation/clark},
publisher = {USENIX Association},
month = aug
}
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