Accelerating Secure Computing for IoT Sensors

Security in IoT sensors has focused on cryptography based but has failed to consider System on Chip (interoperability during side channel, and physical attacks, as they concentrate solely on standalone behavior. This talk will discuss SoC security solutions that shield a SoC against supply voltage and physical attacks while apprising SoC interoperation. Along with the supply monitoring shields, this talk will present an efficient AES 256 b encryption module accelerator, a physical unclonable function, and a true random number generator as SoC peripheral instances.

Biography: 

Elkim received his Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2014, where he was a Fulbright Scholar, his M.S degree from the University of São Paulo, São Paulo, Brazil, and his bachelor’s degree in Electrical Engineering from Universidad Industrial de Santander, Colombia. He is currently a SoC Architect in Samsung Semiconductor Inc. working on computing acceleration for 4G/5G modems systems. Prior to Samsung, he has worked with Rambus Inc. and GlobalFoundries on high-speed communications, systems engineering for projects solving communications bandwidth and computing bottlenecks. He was an Associate Professor at Universidad Industrial de Santander from 2016 to 2021. His research interests include SoC architecture, high-speed interfaces, computing acceleration, and efficient AI computing.

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