Iram Bashir
A Secure and Robust Image Hashing Scheme Using Gaussian Pyramids
Bashir, Iram; Ahmed, Fawad; Ahmad, Jawad; Boulila, Wadii; Alharbi, Nouf
Abstract
Image hash is an alternative to cryptographic hash functions for checking integrity of digital images. Compared to cryptographic hash functions, an image hash or a Perceptual Hash Function (PHF) is resilient to content preserving distortions and sensitive to malicious tampering. In this paper, a robust and secure image hashing technique using a Gaussian pyramid is proposed. A Gaussian pyramid decomposes an image into different resolution levels which can be utilized to obtain robust and compact hash features. These stable features have been utilized in the proposed work to construct a secure and robust image hash. The proposed scheme uses Laplacian of Gaussian (LOG) and disk filters to filter the low-resolution Gaussian decomposed image. The filtered images are then subtracted and their difference is used as a hash. To make the hash secure, a key is introduced before feature extraction, thus making the entire feature space random. The proposed hashing scheme has been evaluated through a number of experiments involving cases of non-malicious distortions and malicious tampering. Experimental results reveal that the proposed hashing scheme is robust against non-malicious distortions and is sensitive to detect minute malicious tampering. Moreover, False Positive Probability (FPP) and False Negative Probability (FNP) results demonstrate the effectiveness of the proposed scheme when compared to state-of-the-art image hashing algorithms proposed in the literature.
Citation
Bashir, I., Ahmed, F., Ahmad, J., Boulila, W., & Alharbi, N. (2019). A Secure and Robust Image Hashing Scheme Using Gaussian Pyramids. Entropy, 21(11), Article 1132. https://doi.org/10.3390/e21111132
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 14, 2019 |
Online Publication Date | Nov 19, 2019 |
Publication Date | Nov 19, 2019 |
Deposit Date | Dec 2, 2019 |
Publicly Available Date | Dec 2, 2019 |
Journal | Entropy |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 21 |
Issue | 11 |
Article Number | 1132 |
DOI | https://doi.org/10.3390/e21111132 |
Keywords | hash; digital image; security; distortions; False Positive Probability (FPP); False Negative Probability (FNP) |
Public URL | http://researchrepository.napier.ac.uk/Output/2365659 |
Files
A Secure And Robust Image Hashing Scheme Using Gaussian Pyramids
(5.6 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
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.
You might also like
A secure image encryption scheme based on chaotic maps and affine transformation
(2015)
Journal Article
Chaos-based diffusion for highly autocorrelated data in encryption algorithms
(2015)
Journal Article
A New Image Encryption Scheme Based on Dynamic S-Boxes and Chaotic Maps
(2016)
Journal Article
An efficient image encryption scheme based on: Henon map, skew tent map and S-Box
(2015)
Presentation / Conference Contribution
An Experimental Comparison of Chaotic and Non-chaotic Image Encryption Schemes
(2015)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search