Volume 24, Issue 1, June 2016, Pages 13–19
P. Suganthi1, K. Kala2, and C. Balasubramanian3
1 PG Scholar, Department of CSE, P.S.R. Rengasamy College of Engineering for Women, Sivakasi, Tamilnadu, India
2 Asst Professor, Department of CSE, P.S.R. Rengasamy College of Engineering for Women, Sivakasi, Tamilnadu, India
3 Prof. and head of Department of Computer Science and Engineering, P.S.R.Renasamy College of Engineering for women, Sivakasi, Tamilnadu, India
Original language: English
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The need for privacy preserving is sharing of sensitive information occurs in many different ways. In order to maintain privacy in database, the confidential data should be protected in the form of modifying the sensitive data items. Protecting sensitive data is an important issue in the government, public database. It used protected the sensitive numerical data item in the form of modifying the original data item using the proposed techniques. There are various anonymization technique provides privacy protection which can be used such as data encryption, Randomization and k-anonymity. The existing system uses commutative encryption scheme to improve data privacy of the database and provides security of data by using AES algorithm. To enhancing other cryptography techniques (such as RSA) are used in the user database for secure their database from unauthorized user. The multiple users have to access the data from a database with the permission of administrator.
Author Keywords: Privacy preserving, Anonymization, Classification, RSA algorithm.
P. Suganthi1, K. Kala2, and C. Balasubramanian3
1 PG Scholar, Department of CSE, P.S.R. Rengasamy College of Engineering for Women, Sivakasi, Tamilnadu, India
2 Asst Professor, Department of CSE, P.S.R. Rengasamy College of Engineering for Women, Sivakasi, Tamilnadu, India
3 Prof. and head of Department of Computer Science and Engineering, P.S.R.Renasamy College of Engineering for women, Sivakasi, Tamilnadu, India
Original language: English
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The need for privacy preserving is sharing of sensitive information occurs in many different ways. In order to maintain privacy in database, the confidential data should be protected in the form of modifying the sensitive data items. Protecting sensitive data is an important issue in the government, public database. It used protected the sensitive numerical data item in the form of modifying the original data item using the proposed techniques. There are various anonymization technique provides privacy protection which can be used such as data encryption, Randomization and k-anonymity. The existing system uses commutative encryption scheme to improve data privacy of the database and provides security of data by using AES algorithm. To enhancing other cryptography techniques (such as RSA) are used in the user database for secure their database from unauthorized user. The multiple users have to access the data from a database with the permission of administrator.
Author Keywords: Privacy preserving, Anonymization, Classification, RSA algorithm.
How to Cite this Article
P. Suganthi, K. Kala, and C. Balasubramanian, “Improving Data Precision and Accuracy using Efficient Techniques,” International Journal of Innovation and Scientific Research, vol. 24, no. 1, pp. 13–19, June 2016.
