Neural Network Approach for Secure Hash-Based Color Image Authentication and Analysis

Abstract

Various neural network based image hash functions have been proposed, in related works. However, statistical and security analysis must validate usage of them in military applications. This paper proposes a new neural network based hash function approach for color image authentication. Proposed hash function re-sizes input color image to a constant size, then generates hash values using neural network one-way property and non-linear techniques, for 3 dimensions respectively. As a result security and performance analysis are performed and satisfying results are achieved. The proposed system is robust, useful and secure.

Keywords: image authentication, cryptology, hash function, statistical and security analysis.