Grayscale Image Authentication using Neural Hashing

Year 2016, Volume: 1 Issue: 1, 23 - 31, 03.02.2016

Yakup Kutlu Apdullah Yayık

https://doi.org/10.28978/nesciences.286048

Cited By: 1

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

Image Authentication, Cryptology, Hash Function, Statistical and Security Analysis

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