In Chap. 3 , we discussed a multi-objective anonymisation approach to generating privacy preserving data in low computational and power resource settings and explained that such a mechanism is useful in creating generic privacy-preserving datasets for contexts in which per-query anonymisation is impractical either due to performance or real-time constraints. multi-objective anonymisation is however not well-suited to anonymising high dimensional datasets that result from composing data belonging to different data owners and that can also arise from distributed data sources.