Computational Differential Privacy for Encrypted Databases Supporting Linear Queries

ePrint Report: Computational Differential Privacy for Encrypted Databases Supporting Linear Queries

Ferran Alborch Escobar, Sébastien Canard, Fabien Laguillaumie, Duong Hieu Phan

Differential privacy is a fundamental concept for protecting individual privacy in databases while enabling data analysis. Conceptually, it is assumed that the adversary has no direct access to the database, and therefore, encryption is not necessary. However, with the emergence of cloud computing and the «on-cloud» storage of vast databases potentially contributed by multiple parties, it is becoming increasingly …

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