Providing Data Group Anonymity Using Concentration Differences

Public access to digital data can turn out to be a cause of undesirable information disclosure. That's why it is vital to somehow protect the data before publishing. There are two main subclasses of such a task, namely, providing individual and group anonymity. In the paper, we introduce an original method of protecting the group patterns of data. Also, we provide a comprehensive illustrative example. Key words: group anonymity, statistical disclosure control, wavelet transform. . . . , : . . . : , , . . . . , : . . -. : , , -.

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: Oleg Chertov, Dan Tavrov
• Keywords: Comprehensive Illustrative Example, CORR 2010, Education, Group Anonymity, Undesirable Information Disclosure