AN IMPROVEMENT OF PRIVACY PRESERVING USING BLOCK-TINY ENCRYPTION ALGORITHM: CLOUD APPROACH

Himanshu Kumar, Dr Anurag Singh Baghel

Abstract


In this paper we have a tendency to evaluate the economical, scalable, and sensible technique for privacy-preserving K-NN search. The approach allows the wide utilization of k-nearest neighbours search in confidential situations when none of the parties reveal their info whereas they'll still hand and glove notice the closest matches. To progress Block-Tiny Encryption Algorithm(TEA-AES) privacy conserving model for conserving the privacy of the patient’s information in an exceedingly cloud aided system because the sensitive info is required to be maintained confidential and may not be discovered to public users apart from the physicians.

Keywords


Cloud approach, privacy preserving, TEA, KNN, MATLAB 2014a.

Full Text:

PDF


DOI: https://doi.org/10.26483/ijarcs.v8i7.4142

Refbacks

  • There are currently no refbacks.




Copyright (c) 2017 International Journal of Advanced Research in Computer Science