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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Best Hiding Capacity Scheme for Variable Length Messages Using Particle Swarm Optimization
verfasst von : Ruchika Bajaj, Punam Bedi, S. K. Pal
Erschienen in: Swarm, Evolutionary, and Memetic Computing
Verlag: Springer Berlin Heidelberg
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Steganography is an art of hiding information in such a way that prevents the detection of hidden messages. Besides security of data, the quantity of data that can be hidden in a single cover medium, is also very important. We present a secure data hiding scheme with high embedding capacity for messages of variable length based on Particle Swarm Optimization. This technique gives the best pixel positions in the cover image, which can be used to hide the secret data. In the proposed scheme, k bits of the secret message are substituted into k least significant bits of the image pixel, where k varies from 1 to 4 depending on the message length. The proposed scheme is tested and results compared with simple LSB substitution, uniform 4-bit LSB hiding (with PSO) for the test images Nature, Baboon, Lena and Kitty. The experimental study confirms that the proposed method achieves high data hiding capacity and maintains imperceptibility and minimizes the distortion between the cover image and the obtained stego image.