학술논문

Prochlo: Strong Privacy for Analytics in the Crowd
Document Type
Working Paper
Source
Proceedings of the 26th Symposium on Operating Systems Principles (SOSP), pp. 441-459, 2017
Subject
Computer Science - Cryptography and Security
Language
Abstract
The large-scale monitoring of computer users' software activities has become commonplace, e.g., for application telemetry, error reporting, or demographic profiling. This paper describes a principled systems architecture---Encode, Shuffle, Analyze (ESA)---for performing such monitoring with high utility while also protecting user privacy. The ESA design, and its Prochlo implementation, are informed by our practical experiences with an existing, large deployment of privacy-preserving software monitoring. (cont.; see the paper)