Volume : IV, Issue : VI, June - 2014

INFORMATION HIDING SCHEME FOR DIGITAL IMAGES BASED ON GENETIC ALGORITHMS

P. M. Siva Raja, E. Baburaj

Abstract :

Modern information hiding technology plays a vital role in information security. Hiding capacity is very much essential for efficient secret communication. The redundancies of digital media as well as the features of human visual system create hiding technology an important one. Steganography is the art and Science of scripting hidden messages in such a manner that no one, except the sender and directed receiver realize the existence of the message. Images are the generally secret objects used for information hiding schemes. Image steganography is the most well–liked method for message cover up. Numerous special carrier file designs are used, but digital images are the most familiar, because of their frequency in the Internet. In LSBMR, two covert bits is fixed into each embedding unit and the threshold value for region selection is determined. The major disadvantage of this scheme is the total difference is taken as the threshold value. In this paper LSB Matching Revisited (LSBMR) image steganography using Genetic Algorithm (GA) is proposed, in which Genetic algorithm is used to select the embedding regions according to the size of the secret message and to optimize the threshold value of the selected image regions. Experimental analysis shows that the proposed algorithm outperforms the existing methods in terms of capacity and security

Keywords :

Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

P.M.Siva Raja, E.Baburaj INFORMATION HIDING SCHEME FOR DIGITAL IMAGES BASED ON GENETIC ALGORITHMS Indian Journal of Applied Research, Vol.IV, Issue.VI June 2014

Number of Downloads : 759

References :