Privacy Preserving Computation in Home Loans Using the FRESCO Framework
Paper
Paper/Presentation Title | Privacy Preserving Computation in Home Loans Using the FRESCO Framework |
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Presentation Type | Paper |
Authors | Chan, Fook Mun (Author), Xu, Quanqing (Author), Seah, Hao Jian (Author), Keoh, Sye Loong (Author), Tang, Zhaohui (Author) and Aung, Khin Mi Mi (Author) |
Editors | Kacprzyk, Janusz |
Journal or Proceedings Title | Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference (FICC) |
Journal Citation | 2, pp. 90-107 |
Number of Pages | 18 |
Year | 2019 |
Place of Publication | Switzerland |
ISBN | 9783030034047 |
9783030034054 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-03405-4_7 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-030-03405-4_7 |
Web Address (URL) of Conference Proceedings | https://link.springer.com/book/10.1007/978-3-030-03405-4 |
Conference/Event | 2018 Future of Information and Communication Conference (FICC 2018) |
Event Details | 2018 Future of Information and Communication Conference (FICC 2018) Event Date 05 to end of 06 Apr 2018 Event Location Singapore |
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 Multi Party Computation (MPC) is done within 2 to 2.5 s. Up to 10 K addition operations, MPC system performs very well and most applications will be sufficient within 10K additions. |
Keywords | Privacy; Secure multiparty computation; FRamework for Efficient Secure COmputation (FRESCO) |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Data Storage Institute, Singapore |
University of Glasgow, United Kingdom | |
Singapore Institute of Technology | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5920/privacy-preserving-computation-in-home-loans-using-the-fresco-framework
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