@inproceedings{c14f4d15c7db4dfba866bc084dfbf0d5,
title = "Hunting the unknown: White-box database leakage detection",
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.",
author = "E. Costante and \{Hartog, den\}, J.I. and M. Petkovic and S. Etalle and M. Pechenizkiy",
year = "2014",
doi = "10.1007/978-3-662-43936-4\_16",
language = "English",
isbn = "978-3-662-43935-7",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "243--259",
editor = "V. Atluri and G. Pernul",
booktitle = "Data and Applications Security and Privacy XXVIII (28th Annual IFIP WG 11.3 Working Conference, DBSec 2014, Vienna, Austria, July 14-16, 2014)",
address = "Germany",
note = "28th Annual IFIP WG 11.3 Working Conference on Data and Applications Security (DBSec 2014), July 14-16, 2014, Vienna, Austria, DBSec 2014 ; Conference date: 14-07-2014 Through 16-07-2014",
}