Grayscale Image Authentication using Neural Hashing
This addresses the need for secure and efficient image authentication, but appears incremental as it builds on existing neural network-based hash functions.
The paper tackled the problem of grayscale image authentication by proposing a novel neural hashing approach, achieving satisfying results in security and performance analysis.
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.