Manuscript Number : IJSRSET1184472
Feature Extraction using SIFT for Privacy Preserving Over Encrypted Image
Authors(2) :-Pranjali M Marne, Prof. P. M. Kamde
In past a huge number of the data owners stores their individual multimedia information so for the communication to be carried out securely, the private information shouldn’t be reveal by its originated application of the owners as it does outsourced multimedia. Thus it is important to maintain the privacy by preserving the computation in outsource multimedia data. Thus the privacy-preservation will be implemented using SIFT (Scale Invariant Feature Transform) algorithm over the image. The data set owner is responsible to have the image data set thus which is responsible to send the image to server thus the feature extraction is done by using SIFT. The Batched Secure Multiplication Protocol for the communication between the servers and Batched Secure Comparison protocol for the comparison. It uses somewhat holomorphic encryption technique. TheCaltech256 standard dataset is used and the application users will have high level of security on image data.
Pranjali M Marne
SIFT, Encryption, Feature Selection, Secure Data Outsourcing.
Publication Details
Published in :
Volume 4 | Issue 8 | May-June 2018 Article Preview
Department of Computer Engineering, Sinhgad College of Engineering, Savitribai Phule, Pune University, Pune, Maharashtra, India
Prof. P. M. Kamde
Department of Computer Engineering, Sinhgad College of Engineering, Pune, Savitribai Phule, Pune University, Pune, Maharashtra, India
Date of Publication :
2018-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
664-669
Manuscript Number :
IJSRSET1184472
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET1184472