Privacy Preserving Computation in Home Loans using the FRESCO Framework

Chan, F. M., Xu, Q., Seah, H. J., Tang, Z., Keoh, S. L. and Aung, K. M. M. (2018) Privacy Preserving Computation in Home Loans using the FRESCO Framework. In: Future of Information and Communication Conference (FICC), Singapore, 05-06 Apr 2018, ISBN 9783030034047 (doi:10.1007/978-3-030-03405-4_7)

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Abstract

Secure Multiparty Computation (SMC) is a subfield of cryptography that allows multiple parties to compute jointly on a function without revealing their inputs to others. The technology is able to solve potential privacy issues that arises when a trusted third party is involved, like a server. This paper aims to evaluate implementations of Secure Multiparty Computation and its viability for practical use. The paper also seeks to understand and state the challenges and concepts of Secure Multiparty Computation through the construction of a home loan calculation application. Encryption over MPC is done within 2 to 2.5 Seconds. Up to 10K addition operations, MPC system performs very well and most applications will be sufficient within 10K additions.

Item Type:Conference Proceedings
Additional Information:Published in: In: Arai K., Kapoor S., Bhatia R. (eds) Advances in Information and Communication Networks. FICC 2018. Advances in Intelligent Systems and Computing, vol 887. Springer, Cham.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Keoh, Dr Sye Loong
Authors: Chan, F. M., Xu, Q., Seah, H. J., Tang, Z., Keoh, S. L., and Aung, K. M. M.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9783030034047
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