Securing Databases from Probabilistic Inference

06.06.2017

Securing Databases from Probabilistic Inference

06.06.2015, 14:25 – 14:55

Speaker: Marco Guarnieri, ETH Zurich, Switzerland

Organizer: CROSSING

Abstract

Databases can leak confidential information when users combine query results with probabilistic data dependencies and prior knowledge. Current research efforts offer mechanisms that either handle a limited class of dependencies or lack tractable enforcement algorithms necessary for scaling.

We propose a foundation for Database Inference Control based on PROBLOG, a probabilistic logic programming language. We leverage this foundation to develop ANGERONA, a provably secure enforcement mechanism that prevents information leakage in the presence of probabilistic dependencies. We then provide a tractable inference algorithm for a practically relevant fragment of PROBLOG. We empirically evaluate ANGERONA's performance showing that it scales to relevant problems of interest.

Short Bio

Website of Marco Guarnieri.

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