Privacy Preserving Mining on Vertically Partitioned Database

Anupama K, Grace Priya Shalini S, Mani.A

Association rules, Data Mining, Homomorphic encryption technique, privacy preserving.

This system allows multiple data owners to outsource their data in a common could. This paper mainly emphases on privacy preserving mining on vertically partitioned database. It provides an even solution to protect data owner’s raw data from the other data owners. To achieve secure outsourcing technique, the system proposes a cloud-aided frequent itemset mining solution. The run time in this system is one order higher than non-privacy preserving mining algorithms.

10.22161/ijaers.4.2.34