Secure multi-party computation for analytics deployed as a lightweight web application
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Citation (published version)Lapets, Andrei; Volgushev, Nikolaj; Bestavros, Azer; Jansen, Frederick; Varia, Mayank. Secure Multi-Party Computation for Analytics Deployed as a Lightweight Web Application. Technical Report BU-CS-TR 2016-008, Computer Science Department, Boston University, July 25, 2016.
We describe the definition, design, implementation, and deployment of a secure multi-party computation protocol and web application. The protocol and application allow groups of cooperating parties with minimal expertise and no specialized resources to compute basic statistical analytics on their collective data sets without revealing the contributions of individual participants. The application was developed specifically to support a Boston Women’s Workforce Council (BWWC) study of wage disparities within employer organizations in the Greater Boston Area. The application has been deployed successfully to support two data collection sessions (in 2015 and in 2016) to obtain data pertaining to compensation levels across genders and demographics. Our experience provides insights into the particular security and usability requirements (and tradeoffs) a successful “MPC-as-a-service” platform design and implementation must negotiate.