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Future of Information and Communication Conference

FICC 2018: Advances in Information and Communication Networks pp 90–107Cite as

Privacy Preserving Computation in Home Loans Using the FRESCO Framework

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 887)

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)

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Notes

  1. 1.

    http://www10.hdb.gov.sg/eBook/AR2016/key-statistics.html.

  2. 2.

    http://www.mas.gov.sg/news-and-publications/media-releases/2013/mas-introduces-debt-servicing-framework-for-property-loans.aspx.

  3. 3.

    http://housingloansg.com/hl/resources/housing-loan-guide/tdsr-and-msr.

  4. 4.

    http://fresco.readthedocs.io/en/latest/intro.html.

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Author information

Authors and Affiliations

  1. Data Storage Institute, A*STAR, Singapore, Singapore

    Fook Mun Chan, Quanqing Xu & Khin Mi Mi Aung

  2. University of Glasgow, Glasgow, UK

    Hao Jian Seah & Sye Loong Keoh

  3. Singapore Institute of Technology, Singapore, Singapore

    Zhaohui Tang

Authors
  1. Fook Mun Chan
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  2. Quanqing Xu
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  3. Hao Jian Seah
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  4. Sye Loong Keoh
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  5. Zhaohui Tang
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  6. Khin Mi Mi Aung
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Corresponding author

Correspondence to Fook Mun Chan .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Prof. Dr. Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, New Delhi, India

    Rahul Bhatia

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Cite this paper

Chan, F.M., Xu, Q., Seah, H.J., Keoh, S.L., Tang, Z., Aung, K.M.M. (2019). Privacy Preserving Computation in Home Loans Using the FRESCO Framework. 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. https://doi.org/10.1007/978-3-030-03405-4_7

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  • DOI: https://doi.org/10.1007/978-3-030-03405-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03404-7

  • Online ISBN: 978-3-030-03405-4

  • eBook Packages: EngineeringEngineering (R0)

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