Protection of Data from a Semi-Honest Party Using Fast Association Rule Hiding

Data mining technique is an emerging technique applied in strategic decision-making as well as in many more application areas. Nevertheless, it also has a few demerits apart from its utility. The data mining tools may bring out information that should not be disclosed to a semi honest party. Different approaches are being used to hide the sensitive information. This paper proposes a novel method to access the generating transactions from the transactional database. It helps in reducing the time and space complexities of any hiding algorithm. Theoretical and empirical analysis of the algorithm shows that hiding of data using this proposed technique performs association rule hiding quicker than other algorithms.