Research Article Open Access

Implementation of Privacy Preservation of N-D Algorithms for Online Analytical Processing

Abstract

Online analytical processing (OLAP) is one of the most popular decision support and knowledge discovery techniques in business-intelligence systems.There are issues related to the protection of private information in Online Analytical Processing (OLAP) systems, where a major privacy concern is the adversarial inference of private information from OLAP query answers. This inference problem cannot be fully addressed by access control and data sanitization techniques.

Rohit Goel, Mahesh Kumar

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