Abstract
The security level of any symmetric key algorithm is directly proportional to its execution time. The algorithm will be more secured if the number of iteration is increase. Soft computing methods are trying to reduce time complexity without compromise the security level. In this paper, an image has been encrypted by number of steps. At first, a key set has been developed based on 16 arbitrary characters and a large number. The image has been diffused in the next step. The key set and diffused image have been computed by genetic algorithm. Here, ring crossover and order changing mutation operator is used in genetic algorithm. The encrypted image is constructed based on logical operation between the diffused image and key. The effectiveness of the algorithm has been tested by number of statistical tests. Finally, a comparative study has been made between our proposed algorithm and some other algorithms. It has been observed that the proposed algorithm has given better result.
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References
Al-Husainy, M.A.F.: Image encryption using genetic algorithm. Information Technology Journal 5(3), 516–519 (2006)
Kaya, Y., Uyar, M., Tekin, R.: A Novel Crossover Operator for Genetic Algorithms: Ring Crossover (2011)
Kumar, A., Rajpal, N.: Application of Genetic Algorithm in the Field of Steganography. Journal of Information Technology 2(1), 12–15 (2004)
Kumar, A., Rajpal, N., Tayal, A.: New Signal Security System for Multimedia Data Transmission Using Genetic Algorithms. In: NCC 2005, pp. 579–583 (January 2005)
Soni, A., Agrawal, S.: Using Genetic Algorithm for Symmetric keyGeneration in Image Encryption. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) 1(10), 137–140 (2012)
Rasul Enayatifar, A.H.A.: Image Security via Genetic Algorithm. In: International Conference on Computer and Software Modeling IPCSIT IACSIT, pp. 198–203. IACSIT Press, Singapore (2011)
Gupta, R.K.: Genetic Algorithms-An overview. IMPULSE 1, 30–39 (2006)
Enayatifar, R., Abdullah, A.H., FauziIsnin, I.: Chaos-based image encryption using a hybrid genetic algorithm and a DNA sequence. Optics and Lasers in Engineering 56, 83–93 (2014)
Wang, X., Luan, D.: A novel image encryption algorithm using chaos and reversible cellular automata. Commun. Nonlinear Sci. Numer. Simulat. 18, 3075–3085 (2013)
Cao, G., Hu, K., Zhang, Y., Zhou, J., Zhang, X.: Chaotic Image Encryption Based on Running-Key Related to Plaintext. Scientific World Journal 2014, Article ID 490179, 9 pages (2014)
El-lskandarani, M., Darwish, S., Abuguba, S.: A robust and secure scheme for image transmission over wireless channels in Security Technology. In: 42nd Annual IEEE International Carnahan Conference on ICCST 2008, pp. 51–55. IEEE (2008)
Sethi, N., Vijay, S.: Comparative Image Encryption Method Analysis Using New Transformed - Mapped Technique. In: Conference on Advances in Communication and Control Systems (CAC2S 2013), pp. 46–50 (2013)
Bhasin, H., Bhatia, S.: Use of Genetic Algorithms for Finding Roots of Algebraic Equations. IJCSIT 2(4), 1693–1696
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Das, S., Mandal, S.N., Ghoshal, N. (2015). Diffusion and Encryption of Digital Image Using Genetic Algorithm. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_82
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DOI: https://doi.org/10.1007/978-3-319-11933-5_82
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11932-8
Online ISBN: 978-3-319-11933-5
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