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DIAU
2000
Springer
15 years 7 months ago
On Pseudonymization of Audit Data for Intrusion Detection
In multilaterally secure intrusion detection systems (IDS) anonymity and accountability are potentially conflicting requirements. Since IDS rely on audit data to detect violations...
Joachim Biskup, Ulrich Flegel
PODS
2005
ACM
96views Database» more  PODS 2005»
16 years 3 months ago
Privacy-enhancing k-anonymization of customer data
In order to protect individuals' privacy, the technique of kanonymization has been proposed to de-associate sensitive attributes from the corresponding identifiers. In this p...
Sheng Zhong, Zhiqiang Yang, Rebecca N. Wright
SP
1999
IEEE
194views Security Privacy» more  SP 1999»
15 years 7 months ago
Detecting Intrusions using System Calls: Alternative Data Models
Intrusion detection systems rely on a wide variety of observable data to distinguish between legitimate and illegitimate activities. In this paper we study one such observable-seq...
Christina Warrender, Stephanie Forrest, Barak A. P...
191
Voted
VLDB
2007
ACM
137views Database» more  VLDB 2007»
16 years 3 months ago
Fast Data Anonymization with Low Information Loss
Recent research studied the problem of publishing microdata without revealing sensitive information, leading to the privacy preserving paradigms of k-anonymity and -diversity. k-a...
Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, ...
IEEEARES
2007
IEEE
15 years 9 months ago
Collection of Quantitative Data on Security Incidents
Quantitative data about security threats is a precondition for a precise assessment of security risks and consequently for an efficient management of information security. Curren...
Thomas Nowey, Hannes Federrath