Privacy Preserving in Horizontally Partitioned Data Based on association Rules Mining
Dharmik Mkawana, Krunal Panchal · 2016
The advances of data mining techniques played an important role in many areas for various applications. In context of privacy and security issues, the problems caused by association rule mining technique are recently investigated. The misuse of this technique may disclose the database owner’s sensitive information to others. Hence, the privacy of individuals is not maintained. Many of the researchers have recently made an effort to preserve privacy of sensitive knowledge or information in a real database. In this paper, we have modified EMHS Algorithm to improve its efficiency by using Elliptic Curve Cryptography. Analysis of the experiment on various datasets show that proposed algorithm is efficient compared to EMHS in terms of computation time.