Security Analysis of Digital Stegno Images Using Genetic Algorithm
Data hiding is a technique that can embed the secret data in digital images for transmitting messages confidentially through internet. These carriers before transmitting are called cover images and after transmission are called stepno images. An effective stenography algorithm should have lass embedding distortion and capable of evading visual and statistical detection. So there is scope for finding the strength of data hiding technique by considering as optimization problem. Genetic algorithm can solve optimization problems effectively then simulated annealing technique. This paper mainly describes the framework that can analyze security strength of data hiding technique called adaptive pixel pair matching technique and finds penalization parameter and kernel parameter. This paper follows subtractive pixel adjacency matrix model and Experimental results depicted that Genetic algorithm gives better performance than the simulated annealing Technique.
KeywordsOptimal pixel adjustment process Genetic algorithm simulated annealing SPAM
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