60 search results - page 3 / 12 » Achieving k-Anonymity Privacy Protection Using Generalizatio... |
COCOA
2008
Springer
13 years 9 months ago
2008
Springer
A popular model for protecting privacy when person-specific data is released is k-anonymity. A dataset is k-anonymous if each record is identical to at least (k - 1) other records ...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
WWW
2008
ACM
14 years 8 months ago
2008
ACM
This paper presents PrivacyGrid - a framework for supporting anonymous location-based queries in mobile information delivery systems. The PrivacyGrid framework offers three unique...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Data generalization is widely used to protect identities and prevent inference of sensitive information during the public release of microdata. The k-anonymity model has been exte...
ICDE
2005
IEEE
14 years 9 months ago
2005
IEEE
The demand for the secondary use of medical data is increasing steadily to allow for the provision of better quality health care. Two important issues pertaining to this sharing o...