Privacy Preserving Using AES-Mapping in Mix Column Encryption Algorithm: Cloud Approach

Authors

  • Kumari A Dept. of Computer science and Engineering, RKDF Institute of Science and Technology (RKDFIST), Bhopal, India
  • Namdeo V Dept. of Computer science and Engineering, RKDF Institute of Science and Technology (RKDFIST), Bhopal, India

DOI:

https://doi.org/10.26438/ijcse/v7i9.201206

Keywords:

Cloud approach, privacy preserving, S.BOX mapping in mix column, KNN, MATLAB 2014a

Abstract

In this paper we evaluate the efficient, scalable and practical method for privacy-preserving using k-nearest neighbors (KNN) classification method for EMR data. The approach enables performing the widely used k-NN classification method in complex scenarios where none of the parties reveal their information while they can still cooperatively find the nearest matches. To development AES- S.BOX mapping in mix column privacy preserving model used for preserving the privacy of the patients data in a cloud assisted system as the complex information is needed to be maintained confidential and should not be revealed to public users other than the physicians. As we know AES is based on several mathematical perform for security purpose substitutions, permutation and transformation.

References

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Published

2019-09-30
CITATION
DOI: 10.26438/ijcse/v7i9.201206
Published: 2019-09-30

How to Cite

[1]
A. Kumari and V. Namdeo, “Privacy Preserving Using AES-Mapping in Mix Column Encryption Algorithm: Cloud Approach”, Int. J. Comp. Sci. Eng., vol. 7, no. 9, pp. 201–206, Sep. 2019.

Issue

Vol. 7 No. 9 (2019): IJCSE Sept. Edition

Section

Research Article

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