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Hunting the Unknown

Abstract : Data leakage causes significant losses and privacy breaches worldwide. In this paper we present a white-box data leakage detection system to spot anomalies in database transactions. We argue that our approach represents a major leap forward w.r.t. previous work because: i) it significantly decreases the False Positive Rate (FPR) while keeping the Detection Rate (DR) high; on our experimental dataset, consisting of millions of real enterprise transactions, we measure a FPR that is orders of magnitude lower than in state-of-the-art comparable approaches; and ii) the white-box approach allows the creation of self-explanatory and easy to update profiles able to explain why a given query is anomalous, which further boosts the practical applicability of the system.
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Elisa Costante, Jerry Hartog, Milan Petković, Sandro Etalle, Mykola Pechenizkiy. Hunting the Unknown. 28th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2014, Vienna, Austria. pp.243-259, ⟨10.1007/978-3-662-43936-4_16⟩. ⟨hal-01284860⟩

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