%0 Conference Proceedings
%T Data Leakage Quantification
%+ Eindhoven University of Technology [Eindhoven] (TU/e)
%+ Philips Research Europe [The Netherlands]
%A Vavilis, Sokratis
%A Petković, Milan
%A Zannone, Nicola
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 28th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec)
%C Vienna, Austria
%Y David Hutchison
%Y Takeo Kanade
%Y Bernhard Steffen
%Y Demetri Terzopoulos
%Y Doug Tygar
%Y Gerhard Weikum
%Y Vijay Atluri
%Y Günther Pernul
%Y Josef Kittler
%Y Jon M. Kleinberg
%Y Alfred Kobsa
%Y Friedemann Mattern
%Y John C. Mitchell
%Y Moni Naor
%Y Oscar Nierstrasz
%Y C. Pandu Rangan
%I Springer
%3 Data and Applications Security and Privacy XXVIII
%V LNCS-8566
%P 98-113
%8 2014-07-14
%D 2014
%R 10.1007/978-3-662-43936-4_7
%K Data Leakage Detection
%K Severity Metrics
%K Data Sensitivity Model
%Z Computer Science [cs]Conference papers
%X The detection and handling of data leakages is becoming a critical issue for organizations. To this end, data leakage solutions are usually employed by organizations to monitor network traffic and the use of portable storage devices. These solutions often produce a large number of alerts, whose analysis is time-consuming and costly for organizations. To effectively handle leakage incidents, organizations should be able to focus on the most severe incidents. Therefore, alerts need to be prioritized with respect to their severity. This work presents a novel approach for the quantification of data leakages based on their severity. The approach quantifies leakages with respect to the amount and sensitivity of the leaked information as well as the ability to identify the data subjects of the leaked information. To specify and reason on data sensitivity in an application domain, we propose a data model representing the knowledge in the domain. We validate our approach by analyzing data leakages within a healthcare environment.
%G English
%Z TC 11
%Z WG 11.3
%2 https://inria.hal.science/hal-01284845/document
%2 https://inria.hal.science/hal-01284845/file/978-3-662-43936-4_7_Chapter.pdf
%L hal-01284845
%U https://inria.hal.science/hal-01284845
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-LNCS-8566
%~ IFIP-WG11-3