Research in Microaggregation Algorithms for k-Anonymization
K-anonymization of tables is a method to prevent private information from disclosure prior to publication, which is achieved traditionally via generalization/suppression techniques. However, these methods have some defects on efficiency, availability, etc.Recently,microaggregation algorithm is proposed as an alternative to generalization/suppression method for k-anonymizanon whose goal is to cluster a set of records into groups of size at least k such that groups are as homogeneous as possible. Then the records'attribute values in the same group are replaced by the group's centtoid. Microaggregation algorithms'core ideas, the state-of-the-art and related techniques are surveyed. The existing algorithms are classified and analyzed. Evaluation methods of microaggregation algorithms are investigated.Finally, some open problems and the research directions in this area are discussed.
国家科技期刊平台
NSTL
万方数据
维普
