Grayscale Image Authentication using Neural Hashing
Cryptography and Security
2017-03-03 v1
Abstract
Many different approaches for neural network based hash functions have been proposed. Statistical analysis must correlate security of them. This paper proposes novel neural hashing approach for gray scale image authentication. The suggested system is rapid, robust, useful and secure. Proposed hash function generates hash values using neural network one-way property and non-linear techniques. As a result security and performance analysis are performed and satisfying results are achieved. These features are dominant reasons for preferring against traditional ones.
Cite
@article{arxiv.1703.00726,
title = {Grayscale Image Authentication using Neural Hashing},
author = {Yakup Kutlu and Apdullah Yayık},
journal= {arXiv preprint arXiv:1703.00726},
year = {2017}
}
Comments
international journal of Natural and Engineering Sciences (NESciences.com) : Image Authentication, Cryptology, Hash Function, Statistical and Security Analysis