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International Conference on Financial Cryptography and Data Security

FC 2012: Financial Cryptography and Data Security pp 57–64Cite as

Deploying Secure Multi-Party Computation for Financial Data Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7397))

Abstract

We show how to collect and analyze financial data for a consortium of ICT companies using secret sharing and secure multi-party computation (MPC). This is the first time where the actual MPC computation on real data was done over the internet with computing nodes spread geographically apart. We describe the technical solution and present user feedback revealing that MPC techniques give sufficient assurance for data donors to submit their sensitive information.

This research was supported by the ERDF through EXCS and STACC; the ESF Doctoral Studies and Internationalisation Programme DoRa; the target funded theme SF0012708s06 and the Estonian Science Foundation, grant No. 8124.

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Author information

Authors and Affiliations

  1. Cybernetica, Akadeemia tee 21, 12618, Tallinn, Estonia

    Dan Bogdanov, Riivo Talviste & Jan Willemson

  2. Institute of Computer Science, University of Tartu, Liivi 2, 50409, Tartu, Estonia

    Dan Bogdanov & Riivo Talviste

  3. STACC, Akadeemia tee 15A, Tallinn, 12618, Estonia

    Riivo Talviste & Jan Willemson

Authors
  1. Dan Bogdanov
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  2. Riivo Talviste
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  3. Jan Willemson
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Columbia University, 1214 Amsterdam Avenue, 10027-7003, New York, NY, USA

    Angelos D. Keromytis

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© 2012 Springer-Verlag Berlin Heidelberg

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Bogdanov, D., Talviste, R., Willemson, J. (2012). Deploying Secure Multi-Party Computation for Financial Data Analysis. In: Keromytis, A.D. (eds) Financial Cryptography and Data Security. FC 2012. Lecture Notes in Computer Science, vol 7397. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32946-3_5

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  • DOI: https://doi.org/10.1007/978-3-642-32946-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32945-6

  • Online ISBN: 978-3-642-32946-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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