Secure Techniques of Data Anonymization for Privacy Preservation
Disha Dubli · International Journal of Advanced Research in Computer Science · 2017
Abstract: Now a day's there is an extensive use of internet , the data present on it should be made available in a way that an individual's privacy is not affected. Recently, many organizations are accumulating gigantic amounts of data which are stored in huge databases. Data publisher gather data from data holders, and publicize this data to data recipient for mining, statistical analysis etc. The released data can reveal secret information of an individual. For providing security to the data, many anonymization techniques have been designed for privacy preserving and micro data publishing. This paper discusses various anonymization techniques such as generalization, bucketization, slicing and also provide a methodology for enhancing security in the slicing technique. Further, a comparative analysis of the proposed method with existing techniques is discussed.