Saied Hosseini-Khayat

Assistant Professor
Department of Electrical Engineering
Ferdowsi University of Mashhad (FUM), Iran

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Towards Ultra light-weight Solutions for IMD Security

The newest generation of wireless implantable devices can leave the patients vulnerable to malicious attacks. On the other hand, securing such devices may seem to increase the cost, area and energy consumption of the IMD chips beyond acceptable limits. In this talk, we will map out the requirements, constraints, and trade-offs involved in the design of IMD chips. From the outset, it is clear that standard data security solutions that work in regular applications (such as e-commerce) are prohibitively expensive for IMD applications. We argue that creating special-purpose ultra light-weight algorithms and protocols are both necessary and feasible. We will outline some candidate solutions and pose a few research questions and design challenges.
 

About the speaker:

Dr. Saied Hosseini-Khayat holds a BS degree in electrical engineering from Shiraz University, Iran, and MS and PhD degrees in electrical engineering from Washington University in St. Louis, Missouri, USA. He has held engineering position at Globespan Semiconductor Inc., Redbank, NJ, Network Programs Inc., Piscataway, NJ, and Erlang Technologies Inc., St. Louis, MO, USA. At present, he is an assistant professor with the department of electrical engineering at Ferdowsi University of Mashhad (FUM), Iran. His expertise lies in the area of FPGA/ASIC design of for communications, networking and cryptography. He has held visiting positions at Polystim Neurotechnologies Laboratory at Ecole Polytechnique de Montreal, and the (Australian) University of Wollongong. During his academic career, he has served as the head of graduate committee for communication engineering at FUM, and has taught numerous graduate and undergraduate courses on digital circuit and system design, applied cryptography and DSP. His current research interests include design and implementation of special-purpose low-power processors for biomedical applications.