A Genetic Approach to Multivariate Microaggregation for Database Privacy
Micro-aggregation is a technique used to protect privacy in databases and location-based services. The authors propose a new hybrid technique for multivariate micro-aggregation. Their technique combines a heuristic yielding fixed-size groups and a genetic algorithm yielding variable-sized groups. Fixed-size heuristics are fast and able to deal with large data sets, but they sometimes are far from optimal in terms of the information loss inflicted. On the other hand, the genetic algorithm obtains very good results (i.e. optimal or near optimal), but it can only cope with very small data sets. Their technique leverages the advantages of both types of heuristics and avoids their shortcomings. It partitions the data set into a number of groups by using a fixed-size heuristic.