English

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.

Keywords

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

R2 v1 2026-06-22T18:33:28.844Z