Parameswaran and Blough (†516)Parameswaran, Rupa, and Douglas M. Blough."A Robust Data-obfuscation Approach for Privacy Preservation of Clustered Data" (2006?]).
- data obfuscation (p. 1): Data Obfuscation (DO) techniques distort data in order to hide information. One application area for DO is privacy preservation. Many data obfuscation techniques have been suggested and implemented for privacy preserving data mining applications. However, existing approaches are either not robust to privacy attacks or they do not preserve data clusters, thereby making it difficult to apply data mining techniques (†809)
- privacy (p. 1): Privacy is defined as the freedom from unauthorized intrusion. The availability of personal information through online databases such as government records, medical records, and voters’ lists poses a threat to personal privacy. Intelligent search engines and data mining techniques further exacerbate the problem of privacy by simplifying access and retrieval of personal records. (†808)