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New technique uses power anomalies to ID malware in embedded systems

April 25, 2019 | Science Daily

Researchers from NC State University and the University of Texas at Austin have developed a technique for detecting types of malware that use a system’s architecture to thwart traditional security measures. The new detection approach works by tracking power fluctuations in embedded systems.

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Department of Electrical and Computer Engineering

890 Oval Drive
3114 Engineering Building II
Raleigh, NC 27606

919.515.2336

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