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Grayscale Image Authentication using Neural Hashing

Yakup Kutlu, Apdullah Yayık*

DOI: 10.28978/nesciences.286048

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.

 

Volume 1, No 1, 23-31, 2016

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