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» Quantifying and Measuring Anonymity
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136
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SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
15 years 2 months ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...
KDD
2008
ACM
163views Data Mining» more  KDD 2008»
16 years 1 months ago
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
Justin Brickell, Vitaly Shmatikov
93
Voted
APSCC
2008
IEEE
15 years 2 months ago
Measuring the Effectiveness and the Fairness of Relation Hiding Systems
In this paper, we develop a framework for measuring the level of protection offered by relation hiding systems. The framework provides a uniform way to define a variety of privacy ...
Andreas Pashalidis
127
Voted
SAINT
2008
IEEE
15 years 7 months ago
Performance Measurements and Statistics of Tor Hidden Services
Tor (The Onion Routing) provides a secure mechanism for offering TCP-based services while concealing the hidden server’s IP address. In general the acceptance of services strong...
Karsten Loesing, Werner Sandmann, Christian Wilms,...
83
Voted
LREC
2010
160views Education» more  LREC 2010»
15 years 2 months ago
Corpus and Evaluation Measures for Automatic Plagiarism Detection
The simple access to texts on digital libraries and the WWW has led to an increased number of plagiarism cases in recent years, which renders manual plagiarism detection infeasibl...
Alberto Barrón-Cedeño, Martin Pottha...