An Efficient Image Encryption Using Merkle-Hellman, Elgamal and Genetic Algorithm for Color Images

G. Lokeshwari, S. Udaya Kumar, Sree Vidya Susarla · Applied Mechanics and Materials · 2015

The proliferation of digitized media due to rapid growth of network multimedia systems has created an urgent need for information security due to the ever increasing unauthorized manipulation and reproduction of original digital data. In this paper an approach based on Merkle-Hellman, ElGamal and Genetic algorithms is proposed for data encryption and decryption. The strength of the cipher is increased further by using genetic algorithm. Experimental results show that the proposed approach can be implemented on images of any size which retain the quality of the image while retrieving the original image. This aspect helps in providing the reduction in block size without compromise in the quality of the image and security as well.

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