Yuval Elovici

Senior Academic

Privacy, Data Anonymization, and Secure Data Publishing

Data anonymization aims to mitigate privacy and security concerns and to comply with legal requirements by obfuscating personal details [Fung, 2010]. In this way, data anonymization prevents an adversary from mapping sensitive information to an individual.

Publication language English
Pages 47-68
Publication status Published - 01.01.2012

Keywords

Anonymization Algorithm
Anonymization Process
Data Owner
Privacy Model
Taxonomy Tree

ASJC Scopus subject areas

General Computer Science
Other files and links
Link to publication in Scopus