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EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation.

Felix Nikolaus Wirth1, Tobias Kussel2, Armin Müller3

  • 1Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Medical Informatics Group, Charitéplatz 1, 10117, Berlin, Germany. felix-nikolaus.wirth@charite.de.

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Summary
This summary is machine-generated.

EasySMPC enables secure biomedical data sharing using secure multi-party computation (SMPC) without IT expertise. This open-source tool simplifies complex calculations, overcoming privacy barriers in data re-use and research.

Keywords:
GMW protocolJoint calculationsNo-codeSMPCSecret sharingSecure multi-party computationUser experience

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Area of Science:

  • Biomedical Informatics
  • Cryptography
  • Data Science

Background:

  • Biomedical research increasingly relies on data sharing, but faces strict privacy regulations.
  • Informed consent and anonymization present limitations for large-scale data use.
  • Secure Multi-Party Computation (SMPC) offers provable privacy but is hindered by technical complexity and usability issues.

Purpose of the Study:

  • To develop a user-friendly tool for secure biomedical data sharing using SMPC.
  • To overcome the technical barriers hindering the adoption of SMPC in real-world applications.
  • To facilitate secure joint calculations on sensitive biomedical data.

Main Methods:

  • Developed EasySMPC, an open-source, cross-platform desktop application in Java.
  • Integrated the Arithmetic Secret Sharing SMPC method for secure summation of variables.
  • Utilized a graphical user interface and email for communication, eliminating the need for key exchange or complex setup.

Main Results:

  • EasySMPC provides a no-code solution for secure joint calculations.
  • The tool is scalable, handling 10,000 variables across 20 parties in under 300 seconds.
  • Performance is primarily influenced by the number of participating parties.

Conclusions:

  • An easy-to-use, no-code SMPC solution is now available for scientists without IT expertise.
  • EasySMPC requires no special infrastructure, simplifying secure data analysis.
  • Innovative SMPC approaches are crucial for advancing biomedical data sharing and translational research.