Doctor of Philosophy (Ph.D.)
Degree Granting Department
Computer Science and Engineering
Mehran Mozaffari Kermani, Ph.D.
Srinivas Katkoori, Ph.D.
Hao Zheng, Ph.D.
Nasir Ghani, Ph.D.
Reza Azarderakhsh, Ph.D.
Cryptography, number-theoretic transform, recomputing with encoded operands, ring learning with error, ring polynomial multiplication
The advent of quantum computers and the exponential speed-up of quantum computation will render classical cryptosystems insecure, as that can solve current encryptions in minutes, resulting in a catastrophic failure of privacy preservation and data security. Through the standardizing of quantum-resistant public-key cryptography algorithms, the National Institute of Standards and Technology (NIST) is evaluating potential candidates to thwart such quantum attacks. In this dissertation, countermeasures against fault attacks are proposed to secure various lattice-based cryptosystems, one of the most promising post-quantum cryptosystems. Fault detection architectures for crucial building blocks of lattice-based cryptosystems, i.e., number-theoretic transform, ring polynomial multiplication, and ring learning with error are introduced. Moreover, the secure hardware architecture of post-quantum key encapsulation mechanism SABER and the signature scheme Falcon are explored. The proposed architectures can also detect natural faults, caused by device malfunctions, which are crucial to proper functionalities of sensitive and secure deeply-embedded systems with stringent constraints.
Scholar Commons Citation
Sarker, Ausmita, "Secure Hardware Constructions for Fault Detection of Lattice-based Post-quantum Cryptosystems" (2022). USF Tampa Graduate Theses and Dissertations.