Secure MPC for Analytics as a Web Application

Companies, government agencies, and other organizations have been analyzing data pertaining to their internal operations with great effect, such as in evaluating performance or improving efficiency. While each organization's own data is valuable internally, aggregate data from multiple organiza...

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Bibliographic Details
Published in2016 IEEE Cybersecurity Development (SecDev) pp. 73 - 74
Main Authors Lapets, Andrei, Volgushev, Nikolaj, Bestavros, Azer, Jansen, Frederick, Varia, Mayank
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2016
Subjects
Aggregates
Companies
Cryptography
Data aggregation
Protocols
Usability
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Summary:Companies, government agencies, and other organizations have been analyzing data pertaining to their internal operations with great effect, such as in evaluating performance or improving efficiency. While each organization's own data is valuable internally, aggregate data from multiple organizations can have value to the organizations themselves, policymakers, and society. Unfortunately, an organization's data is often proprietary and confidential, and its release may be potentially deleterious to the organization's interests. Secure multi-party computation (MPC) resolves this tension: aggregate data may be computed while protecting each contributor's confidentiality. Theoretical constructs have been known for decades [1]-[3] and recent efforts aim to deliver them to end-users [4]-[6].
DOI:10.1109/SecDev.2016.027