A Novel Approach for Secure Mining of Horizontally Distributed Databases
The current protocols for secure mining of association rules in horizontally distributed databases has different problems like privacy. In this kind of scenario different players may wish to protect & preserve their data and metadata about their information. The approach is based on the Fast Distributed Mining (FDM) algorithm which is devised by the researcher. FDM is distributed version of the Apriori algorithm and unsecured too. Most importantly these protocols provides two fresh secure algorithms (sub protocols) – the union of private subsets that each of the participating players hold is carried out by one and other one checks for the inclusion of an element held by one of the player in a subset which is held by another.
Subscribe to the Data Insider Newsletter
Learn the latest news and best practices about data science, big data analytics, artificial intelligence, data security, and more. Delivered Mondays and Thursdays