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arXiv · 1706.02473

Securing Databases from Probabilistic Inference

Marco Guarnieri·Srdjan Marinovic·David Basin
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Abstract

Databases can leak confidential information when users combine query results with probabilistic data dependencies and prior knowledge. Current research offers mechanisms that either handle a limited class of dependencies or lack tractable enforcement algorithms. 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 security-critical problems.

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Marco Guarnieri, Srdjan Marinovic, David Basin. 2017-06-08. Securing Databases from Probabilistic Inference. https://arxiv.org/abs/1706.02473

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