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DNA Based Image Steganography

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Book cover Computational Vision and Bio Inspired Computing

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 28))

Abstract

Providing security to all kinds of data is an essential task in the world of digital data. The data can be secured using the several methods like cryptography, steganography and watermarking. Steganography hides the data behind the cover object to secure it. To increase the security of the data, dual cover objects can be used. In this paper, image and DNA are the two covers, which are used to secure the data. The DNA insertion algorithm is used to hide the data in the DNA sequence and it results a fake DNA sequence. The capacity, payload, BPN and Cracking Probability are calculated for the fake DNA sequence to ensure the security. The fake DNA is hidden in a cover image using LSB and F5 algorithm. The MSE and PSNR values are calculated and compared. To conform the security to the data, steganalysis method called histogram attack is performed and compared. This works shows that F5 Algorithm is better compared to LSB algorithm in the second layer of hiding the data.

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Correspondence to P. Malathi .

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Vinodhini, R.E., Malathi, P. (2018). DNA Based Image Steganography. In: Hemanth, D., Smys, S. (eds) Computational Vision and Bio Inspired Computing . Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-71767-8_70

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  • DOI: https://doi.org/10.1007/978-3-319-71767-8_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71766-1

  • Online ISBN: 978-3-319-71767-8

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