Privacy Preserving Computation in Home Loans Using the FRESCO Framework

  • Fook Mun ChanEmail author
  • Quanqing Xu
  • Hao Jian Seah
  • Sye Loong Keoh
  • Zhaohui Tang
  • Khin Mi Mi Aung
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 887)


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.


Privacy Secure multiparty computation FRamework for Efficient Secure COmputation (FRESCO) 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Fook Mun Chan
    • 1
    Email author
  • Quanqing Xu
    • 1
  • Hao Jian Seah
    • 2
  • Sye Loong Keoh
    • 2
  • Zhaohui Tang
    • 3
  • Khin Mi Mi Aung
    • 1
  1. 1.Data Storage Institute, A*STARSingaporeSingapore
  2. 2.University of GlasgowGlasgowUK
  3. 3.Singapore Institute of TechnologySingaporeSingapore

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