As critical government, industry, and consumer applications move online, techniques to maintain data security and privacy must be updated. Traditional encryption methods leave data vulnerable when it is searched or modified. Homomorphic encryption fills the gap, enabling such operations on encrypted data and eliminating the vulnerable decryption step. We worked with the CUDA-accelerated Fully Homomorphic Encryption (cuFHE) Library, the fastest of its kind in the public domain, to create efficient arithmetic functions. We built upon and modified the existing gate primitives, arranging them to create functions which are hardware and application agnostic. The result is a fast platform upon which homomorphic applications can be built: applications which protect user privacy and data integrity.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Labastie, Austin Bernard
• Chase, Robert Michael
• Colbert, Keith Patrick
• Fusco, Dominic Paul

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042419-221054

Advisor

• Sunar, Berk
• Martin, William J.

Year

• 2019

Date created

• 2019-04-24

Resource type

• Major Qualifying Project

Major

• Computer Science
• Electrical & Computer Engineering

Rights statement

• In Copyright