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» k-Anonymity: A Model for Protecting Privacy
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ACSW
2007
13 years 11 months ago
Controlling Inference: Avoiding P-level Reduction during Analysis
This paper presents a concept hierarchy-based approach to privacy preserving data collection for data mining called the P-level model. The P-level model allows data providers to d...
Adepele Williams, Ken Barker
EDBT
2009
ACM
136views Database» more  EDBT 2009»
14 years 5 months ago
On the comparison of microdata disclosure control algorithms
Privacy models such as k-anonymity and -diversity typically offer an aggregate or scalar notion of the privacy property that holds collectively on the entire anonymized data set....
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
SIGMOD
2008
ACM
189views Database» more  SIGMOD 2008»
14 years 10 months ago
Dynamic anonymization: accurate statistical analysis with privacy preservation
A statistical database (StatDB) retrieves only aggregate results, as opposed to individual tuples. This paper investigates the construction of a privacy preserving StatDB that can...
Xiaokui Xiao, Yufei Tao
KES
2008
Springer
13 years 8 months ago
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Data Base
Privacy is one of the most important properties of an information system must satisfy. In which systems the need to share information among different, not trusted entities, the pro...
Mahmoud Hussein, Ashraf El-Sisi, Nabil A. Ismail
JSAC
2007
224views more  JSAC 2007»
13 years 10 months ago
AMOEBA: Robust Location Privacy Scheme for VANET
Abstract— Communication messages in vehicular ad hoc networks (VANET) can be used to locate and track vehicles. While tracking can be beneficial for vehicle navigation, it can a...
Krishna Sampigethaya, Mingyan Li, Leping Huang, Ra...