Hunting the Unknown - LNCS 8566: Data and Applications Security and Privacy XXVIII Access content directly
Conference Papers Year : 2014

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.
Fichier principal
Vignette du fichier
978-3-662-43936-4_16_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01284860 , version 1 (08-03-2016)

Licence

Attribution

Identifiers

Cite

Elisa Costante, Jerry Den 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⟩
259 View
150 Download

Altmetric

Share

Gmail Facebook X LinkedIn More