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EDBTW
2010
Springer
13 years 11 months ago
A practice-oriented framework for measuring privacy and utility in data sanitization systems
Published data is prone to privacy attacks. Sanitization methods aim to prevent these attacks while maintaining usefulness of the data for legitimate users. Quantifying the trade-...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
ACSAC
2007
IEEE
13 years 11 months ago
Toward Realistic and Artifact-Free Insider-Threat Data
Progress in insider-threat detection is currently limited by a lack of realistic, publicly available, real-world data. For reasons of privacy and confidentiality, no one wants to...
Kevin S. Killourhy, Roy A. Maxion
PST
2008
13 years 6 months ago
Utility of Knowledge Extracted from Unsanitized Data when Applied to Sanitized Data
Knowledge discovery systems extract knowledge from data that can be used for making prediction about incomplete data items. Utility is a measure of the usefulness of the discovere...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
AINA
2010
IEEE
13 years 10 months ago
GEPETO: A GEoPrivacy-Enhancing TOolkit
Abstract—A geolocalised system generally belongs to an individual and as such knowing its location reveals the location of its owner, which is a direct threat against his privacy...
Sébastien Gambs, Marc-Olivier Killijian, Mi...
ESORICS
2006
Springer
13 years 8 months ago
Towards an Information-Theoretic Framework for Analyzing Intrusion Detection Systems
IDS research still needs to strengthen mathematical foundations and theoretic guidelines. In this paper, we build a formal framework, based on information theory, for analyzing and...
Guofei Gu, Prahlad Fogla, David Dagon, Wenke Lee, ...