Hunting the unknown: White-box database leakage detection

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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.
Original languageEnglish
Title of host publicationData and Applications Security and Privacy XXVIII (28th Annual IFIP WG 11.3 Working Conference, DBSec 2014, Vienna, Austria, July 14-16, 2014)
EditorsV. Atluri, G. Pernul
PublisherSpringer
Pages243-259
ISBN (Print)978-3-662-43935-7
DOIs
Publication statusPublished - 2014
Event28th Annual IFIP WG 11.3 Working Conference on Data and Applications Security (DBSec 2014), July 14-16, 2014, Vienna, Austria - Vienna, Austria
Duration: 14 Jul 201416 Jul 2014

Publication series

NameLecture Notes in Computer Science
Volume8566
ISSN (Print)0302-9743

Conference

Conference28th Annual IFIP WG 11.3 Working Conference on Data and Applications Security (DBSec 2014), July 14-16, 2014, Vienna, Austria
Abbreviated titleDBSec 2014
CountryAustria
CityVienna
Period14/07/1416/07/14

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