98 search results - page 2 / 20 » Achieving anonymity via clustering |
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Technologies that use the Internet network to deliver voice communications have the potential to reduce costs and improve access to communications services around the world. Howev...
ICDE
2007
IEEE
14 years 6 months ago
2007
IEEE
k-Anonymity protects privacy by ensuring that data cannot be linked to a single individual. In a k-anonymous dataset, any identifying information occurs in at least k tuples. Much...
APPROX
2008
Springer
13 years 7 months ago
2008
Springer
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
PET
2005
Springer
13 years 10 months ago
2005
Springer
We review threat models used in the evaluation of anonymity systems’ vulnerability to traffic analysis. We then suggest that, under the partial adversary model, if multiple packe...
TDSC
2011
13 years 5 days ago
2011
— Most of existing privacy preserving techniques, such as k-anonymity methods, are designed for static data sets. As such, they cannot be applied to streaming data which are cont...