Biometrics and Bioinformatics

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Privacy Protection Using Encrypted Images


Affiliations
1 Visvesvaraya College of Engineering and Technology, M.P Patelguda, Ibrahimpatnam(M), Ranga Reddy(D)-501510, India
2 Department of Computer Science & Engineering, Visvesvaraya College of Engineering and Technology, M.P Patelguda, Ibrahimpatnam (M), Ranga Reddy (D)-501510, India
3 Department of Computer Science & Engineering, Visvesvaraya College of Engineering and Technology, M.P Patelguda, Ibrahimpatnam(M), Ranga Reddy(D)-501510, India
     

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Privacy has got considerable attention but is still there is a problem inside multimedia local community. Consider some sort of cloud research scenario the spot that the server can be resource-abundant, and is also capable regarding finishing the particular designated duties. It can be envisioned in which secure advertising applications using privacy preservation is going to be treated seriously. In view that the scale-invariant characteristic transform (SIFT) has become widely adopted in several fields, this project may be the first to the fact that privacy-preserving SORT (PPSIFT) and to address the condition of safeguarded SIFT characteristic extraction and also representation inside encrypted domain.

Keywords

Feature Extraction, Privacy Preservation, Security.
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  • Privacy Protection Using Encrypted Images

Abstract Views: 165  |  PDF Views: 3

Authors

B. Raveendranadh Singh
Visvesvaraya College of Engineering and Technology, M.P Patelguda, Ibrahimpatnam(M), Ranga Reddy(D)-501510, India
M. Sangeetha
Department of Computer Science & Engineering, Visvesvaraya College of Engineering and Technology, M.P Patelguda, Ibrahimpatnam (M), Ranga Reddy (D)-501510, India
Addula Sandhya
Department of Computer Science & Engineering, Visvesvaraya College of Engineering and Technology, M.P Patelguda, Ibrahimpatnam(M), Ranga Reddy(D)-501510, India

Abstract


Privacy has got considerable attention but is still there is a problem inside multimedia local community. Consider some sort of cloud research scenario the spot that the server can be resource-abundant, and is also capable regarding finishing the particular designated duties. It can be envisioned in which secure advertising applications using privacy preservation is going to be treated seriously. In view that the scale-invariant characteristic transform (SIFT) has become widely adopted in several fields, this project may be the first to the fact that privacy-preserving SORT (PPSIFT) and to address the condition of safeguarded SIFT characteristic extraction and also representation inside encrypted domain.

Keywords


Feature Extraction, Privacy Preservation, Security.