Side Channel Assessment of Components for Authenticity
Evaluation and Beyond

Mr. Devon Richman is a fourth-year Ph.D. student at the Center for Advanced Life Cycle Engineering (CALCE) at the University of Maryland College Park. He received his bachelor’s degree in mechanical engineering from the University of Maryland in 2019 and his Masters in 2023. He is an active member of the SAE G-19A Test Laboratory Standards Development Committee and a technical expert for the ANSI National Accreditation Board for SAE AS6171. Mr. Richman’s primary research interests are the use of side-channel methods for assessing the reliability of microelectronic devices, detection of counterfeit microelectronics, and failure analysis of electronic systems. He has worked on the analysis of current standards-based counterfeit detection methods as well as side-channel and machine vision detection systems. He has done work, including failure analysis, for industry leaders including General Electric, Cummins, Amazon Web Services, and Microsoft.
 

Presentation Abstract

Counterfeiters are becoming more sophisticated resulting in counterfeit parts being more challenging to detect using current test methods. While current test methods remain effective there is a growing need for advanced test methods to detect newer breeds of counterfeits that are likely on the horizon. Side-channels are indirect sources of information that originate from a device and contain information about its physical state or function. Side-channel methods are being developed which can help to quickly identify counterfeit electronics. These methods can be used to test a lot of parts for inhomogeneity or compare the parts to an authentic sample. Further research being conducted at CALCE is exploring the use of side-channel power modulation analysis for broader applications including detection of defects and quantifying device degradation.

Dr. Diganta Das

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Karlie Severinson

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