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Embedded systems often operate on sensitive data in safety-critical environments, including transportation, health care, and industrial control. Embedded software can leak information about the activity and data via physical side-channels, such as electromagnetic (EM) fields, which can be measured with ease by an adversary using modest equipment. Such measurements can be used to profile programs, find anomalies in the software, identify sensitive information, and most fundamentally, reveal what instructions are being executed on the system.

WNCG students Wenguang Mao and Mei Wang, along with their advisor, WNCG Professor Lili Qiu, won the “Best Paper” award at this year's ACM MobiSys, which took place over the summer in Munich, Germany. According to the conference website, MobiSys “seeks to present innovative and significant research on all aspects of mobile systems, applications, and services. The conference values technical contributions with working implementations and practical evaluations.” Mao, Wang and Qiu’s paper, titled “AIM: Acoustic Imaging on a Mobile,” was chosen from 40 papers accepted to the conference.