Abstract: The emergence of quantum computers poses a critical threat to conventional cryptographic systems such as RSA and elliptic curve cryptography. Post-quantum cryptography (PQC) offers quantum-resistant security, while fully homomorphic encryption (FHE) enables computation on encrypted data without decryption. However, both technologies demand significant computational resources, making hardware acceleration essential for practical deployment. This presentation covers research on efficient hardware accelerators for PQC and FHE, including a unified architecture for standardized post-quantum schemes, optimized arithmetic units for homomorphic encryption, and ongoing work on privacy-preserving computation. The presentation will also discuss future research directions in PQC for embedded and IoT systems and FHE-secured platforms for real-world applications.
Tianyou Bao
Tianyou Bao is an Assistant Professor in the Department of Electrical and Computer Engineering at The University of Alabama in Huntsville. His research focuses on efficient hardware for post-quantum cryptography and fully homomorphic encryption, spanning cryptographic engineering, computer arithmetic, digital signal processing, and VLSI design. He received his Ph.D. in Electrical and Computer Engineering from Villanova University and his M.S. in Computer Science from The George Washington University. He has authored more than 20 peer-reviewed publications in venues including IEEE Transactions on VLSI Systems, IACR Transactions on Cryptographic Hardware and Embedded Systems, and ACM Transactions on Reconfigurable Technology and Systems.
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