68 search results - page 7 / 14 » Data utility and privacy protection trade-off in k-anonymisa... |
175
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ICDE
2007
IEEE
16 years 1 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...
103
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SDM
2009
SIAM
15 years 9 months ago
2009
SIAM
In this paper, we propose a privacy model that offers trajectory privacy to the requesters of Location-Based Services (LBSs), by utilizing an underlying network of user movement. ...
122
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IIWAS
2007
15 years 1 months ago
2007
The growing number of Web Services technologies and their use have revolutionized the web. Web Services will play an important role in the next web generation (i.e. Semantic Web) ...
129
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SIGMOD
2010
ACM
15 years 19 days ago
2010
ACM
Most previous research on privacy-preserving data publishing, based on the k-anonymity model, has followed the simplistic approach of homogeneously giving the same generalized val...
AINA
2010
IEEE
15 years 5 months ago
2010
IEEE
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...