68 search results - page 1 / 14 » Data utility and privacy protection trade-off in k-anonymisa... |
DASFAA
2009
IEEE
13 years 11 months ago
2009
IEEE
Abstract. In this paper, we propose a novel preference-constrained approach to k-anonymisation. In contrast to the existing works on kanonymisation which attempt to satisfy a minim...
BNCOD
2008
13 years 6 months ago
2008
Abstract. k-Anonymisation is a technique for masking microdata in order to prevent individual identification. Besides preserving privacy, data anonymised by such a method must also...
COMSNETS
2012
12 years 19 days ago
2012
—Researchers choosing to share wireless-network traces with colleagues must first anonymize sensitive information, trading off the removal of information in the interest of iden...
EDBT
2008
ACM
14 years 5 months ago
2008
ACM
K-anonymisation is an approach to protecting privacy contained within a dataset. A good k-anonymisation algorithm should anonymise a dataset in such a way that private information...
PVLDB
2010
13 years 3 months ago
2010
Random perturbation is a promising technique for privacy preserving data mining. It retains an original sensitive value with a certain probability and replaces it with a random va...