International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 112

Research Paper | Computer Science & Engineering | India | Volume 5 Issue 3, March 2016


Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data

Karan Dave | Chetna Chand [2]


Abstract: Data mining is the process of analyzing data from different perspectives. To summarize it into useful information, we can consider several algorithms. To protect data from unauthorized user in this case is a problem to solve. Access control mechanisms protect sensitive information from unauthorized users. But if the privacy protected information is not in proper format, again the user will compromise the privacy and quality of data. A privacy protection mechanism can use suppression and generalization of relational data to anonymize and satisfy privacy requirements, e. g. , k-anonymity and l-diversity, against identity and attribute disclosure. However, privacy is achieved at the cost of precision of authorized information. In this paper, we propose an accuracy-constrained privacy-preserving access control framework. The access control policies define selection predicates available to roles while the privacy requirement is to satisfy the k-anonymity or l-diversity. An additional constraint that needs to be satisfied by the PPM is the imprecision bound for each selection predicate. The techniques for workload-aware anonymization for selection predicates have been discussed in the literature. However, to the best of our knowledge, the problem of satisfying the accuracy constraints for multiple roles has not been studied before. In our formulation of the aforementioned problem, we propose heuristics for anonymization algorithms and show empirically that the proposed approach satisfies imprecision bounds for more permissions and has lower total imprecision than the current state of the art.


Keywords: Data mining, Data Integrity, Data privacy, Anonymization, K anonymity, L diversity


Edition: Volume 5 Issue 3, March 2016,


Pages: 1694 - 1698


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Karan Dave, Chetna Chand, "Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data", International Journal of Science and Research (IJSR), Volume 5 Issue 3, March 2016, pp. 1694-1698, https://www.ijsr.net/get_abstract.php?paper_id=NOV162221

Similar Articles with Keyword 'Data mining'

Downloads: 0

Survey Paper, Computer Science & Engineering, India, Volume 11 Issue 8, August 2022

Pages: 947 - 949

COVID-19 Prediction using Machine Learning Algorithms

Saily Suresh Patil

Share this Article

Downloads: 0

Review Papers, Computer Science & Engineering, India, Volume 13 Issue 3, March 2024

Pages: 1036 - 1039

An Investigation of the Applications of Artificial Intelligence and Other New Technologies in Smart Energy Infrastructure

Karan Chawla [5]

Share this Article
Top