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KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 11 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...
CORR
2010
Springer
79views Education» more  CORR 2010»
13 years 7 months ago
Providing Data Group Anonymity Using Concentration Differences
Public access to digital data can turn out to be a cause of undesirable information disclosure. That's why it is vital to somehow protect the data before publishing. There are...
Oleg Chertov, Dan Tavrov
PSD
2004
Springer
108views Database» more  PSD 2004»
14 years 20 days ago
Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience
The development of new disclosure protection techniques is useful only insofar as those techniques are adopted by statistical agencies. In order for technical experts in disclosure...
Nicholas H. Greenia
TDP
2008
96views more  TDP 2008»
13 years 7 months ago
Constrained Microaggregation: Adding Constraints for Data Editing
Privacy preserving data mining and statistical disclosure control have introduced several methods for data perturbation that can be used for ensuring the privacy of data respondent...
Vicenç Torra
PSD
2010
Springer
108views Database» more  PSD 2010»
13 years 5 months ago
Disclosure Risk of Synthetic Population Data with Application in the Case of EU-SILC
In survey statistics, simulation studies are usually performed by repeatedly drawing samples from population data. Furthermore, population data may be used in courses on survey sta...
Matthias Templ, Andreas Alfons