SIKE in Hardware for IoT

Elliptic curve groups have been a popular choice in the implementation of traditional and post-quantum cryptographic schemes, including Diffie-Hellman type key-exchange protocols and digital signature algorithms. While some of these applications require to perform multidimensional scalar point multiplication (d-Mul), some of the others enjoy extra speed-ups from utilizing d-Mul with some precomputation or efficiently computable endomorphisms. When the underlying scalars in d-Mul are secret, it is crucial to follow a regular pattern of operations in the implementation because otherwise scalars may be recovered through side channel attacks. Therefore, it has been of great interest to design efficient and secure scalar multiplication algorithms. In this talk, I will give a survey of d-Mul algorithms with some recent theoretical and implementation results.

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Speaker Details

Dr. Reza Azarderakhsh is an assistant professor and I-SENSE Fellow in the Department of Computer Science and Engineering at Florida Atlantic University. He received his PhD. in Computer Engineering from Western University, Canada. After that, he was an post-doc research fellow at the Center for Applied Cryptographic Research, Department of Combinatorics and Optimization at the University of Waterloo which he is currently affiliated as a supervisor member of CryptoWorks21 program there. Dr. Azarderakhsh serves as an Associate Editor of IEEE Transactions on Circuits and Systems (TCAS-I) Cryptographic Engineering track. He is an author/coauthor of more than 80 journals and conference papers in the area of applied cryptography and cryptographic engineering. His research has been supported by NSF, NIST, ARO, NAVY, and Texas Instruments among others. He has developed several algorithms and architectures for classical and post-quantum cryptography including elliptic curve cryptography, isogeny-based cryptography, and lattice-based cryptography systems. He was a recipient of the prestigious NSERC Post-Doctoral Research Fellowship and the Texas Instruments Faculty Award.