Mobile Cryptographic Coprocessor for Privacy-Preserving Two-Party Computation

Honors College Thesis

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Citeable URL: https://ir.library.oregonstate.edu/concern/honors_college_theses/2n49t847q

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Attribute Name	Values
Creator	Kulp, Gabriel
Abstract	Multi-party computation (MPC) is a field of study focused on devising cryptographic protocols that allow participants to learn the output of some function of their private inputs without trusting a third party to perform the computation. This is usually done at a large scale between data centers, with little emphasis on individuals' devices or mobile hardware. In this paper, I present a proof-of-concept implementation of two-party computation on a commodity smartphone paired with a low-power field-programmable gate array (FPGA). I compare the performance and power consumption of the system between a software-only setup and a setup with the FPGA coprocessor used for acceleration. I find a calculated 62x speed improvement assuming a saturated serial connection, and no significant difference in the smartphone's battery life. Key Words: MPC, Garbled Circuits, FPGA, Cryptography, IceStorm
License	Attribution-NonCommercial 4.0 (CC BY-NC 4.0)
Resource Type	Honors College Thesis
Date Issued	2021-05-28
Degree Level	Bachelor's
Degree Name	Honors Bachelor of Science (H.B.S.)
Degree Field	Computer Science
Degree Grantor	Oregon State University
Commencement Year	2021
Advisor	Rosulek, Mike
Committee Member	Immler, Vincent Bobba, Rakesh
Non-Academic Affiliation	Oregon State University. Honors College
Rights Statement	In Copyright - Non-Commercial Use Permitted
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
Accessibility Feature	unknown

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