Access Control Based Privacy Protection Mechanism In Knowledge Extraction

  Mala Dutta,  Varsha Gaur

Privacy is a state in which one is not observed or disturbed by other people” Privacy protection policy is an approach to isolate the sensitive information from unauthorized access. Cloud security is one of the widely known fields in research. Cloud security focuses on having variety of security features like confidentiality, authentication, non-repudiation, access-control and integrity. In proposed framework the food mart dataset is the sample dataset which consist of thirty seven different tables to manage fourteen different departments. It demonstrates the basic working style of super market and schema about the storage of information. In our work privacy is focused with the help of algorithm named as k-means clustering with encryption. Along with it, access control policies are also applied named as role based access-control and attribute based access-control. The aim of our work is to reduce the searching computation time by minimizing the desired string and to obtain accurate results. The complete framework has been implemented in Java technology and tested on the basis of execution time and recall parameter.

Keywords- RBAC, ABAC, K-mean clustering, Encryption, Sensitive data

Unique Identification Number - IJEDR1703109
Page Number(s) - 757-762
Pubished in - Volume 5 | Issue 3 | August 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Mala Dutta,  Varsha Gaur,   "Access Control Based Privacy Protection Mechanism In Knowledge Extraction", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 3, pp.757-762, August 2017, Available at :http://www.ijedr.org/papers/IJEDR1703109.pdf