PhD in Computer Science

Homomorphic encryption is a transformative technology that enables computation on encrypted data. This quantum-secure cryptography technique offers privacy-preserving operations on ciphertext with potential use in a variety of applications, ranging from healthcare to finance. Despite its advantages, HE often suffers from high computational cost, hindering its widespread adoption. A practical alternative to fully homomorphic encryption (FHE) is the somewhat homomorphic encryption (or SHE) schemes allowing a limited number of operations on encrypted data. These schemes are more efficient, and hold promise for real-world use cases. Some noticeable schemes include the CKKS, BGV and BFV, mostly named after their research team's initials. This project will explore algorithmic and architectural optimizations by designing and developing a specially optimized hardware accelerator for these somewhat homomorphic encryption schemes on FPGA.