Grayscale Image Authentication using Neural Hashing

TL;DR

This paper introduces a novel neural hashing method for grayscale image authentication that is rapid, robust, and secure, leveraging neural network properties and non-linear techniques.

Contribution

It presents a new neural hashing approach specifically designed for grayscale image authentication, emphasizing security and performance improvements.

Findings

The proposed hash function is secure and robust against attacks.

The system demonstrates high speed and efficiency.

Security and performance analyses show satisfying results.

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.