A Survey on Association Rule Hiding Methods {tag} {/tag} International Journal of Computer Applications © 2013 by IJCA Journal Volume 82 - Number 13 Year of Publication: 2013 Authors: Khyati B. Jadav Jignesh Vania Dhiren R. Patel 10.5120/14177-2357 {bibtex}pxc3892357.bib{/bibtex} Abstract In recent years, the use of data mining techniques and related applications has increased a lot as it is used to extract important knowledge from large amount of data. This has increased the disclosure risks to sensitive information when the data is released to outside parties. Database containing sensitive knowledge must be protected against unauthorized access. Seeing this it has become necessary to hide sensitive knowledge in database. To address this problem, Privacy Preservation Data Mining (PPDM) include association rule hiding method to protect privacy of sensitive data against association rule mining. In this paper, we survey existing approaches to association rule hiding, along with some open challenges. We have also summarized few of the recent evolution. Refer ences - M. Atallah, E. Bertino, A. Elmagamind, M. Ibrahim, and V. S. Verykios "Disclosure limitation of sensitive rules," . In Proc. of the 1999 IEEE Knowledge and 1 / 3