Abstract
Image encryption has evolved significantly over the years. This paper proposes an image encryption system using Arnold’s cat map transformation and Snow stream cipher. In our proposed scheme, the image is first scrambled using Arnold’s transformation and then the selected scrambled image pixels are XORed with the Snow cipher keystream sequence to produce the cipher image. Performance of the proposed scheme is analyzed based on several statistical properties. We have observed encouraging statistical properties of the cipher image bitstream making our encryption scheme suitable for applications that requires secured transportation of images.
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Notes
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NESSIE (New European Schemes for Signatures, Integrity and Encryption) was a renowned research project to classify strong cryptographic primitives.
References
eStream: the ECRYPT stream cipher project. http://www.ecrypt.eu.org/stream/
Aïssa B, Nadir D, Mohamed R (2013) Image encryption using stream cipher based on nonlinear combination generator with enhanced security. New Trends Math Sci 1(1):10–19
Arnol’d VI, Avez A (1968) Ergodic problems of classical mechanics
Chen J, Zhu Zl, Zhang LB, Zhang Y, Yang BQ (2018) Exploiting self-adaptive permutation—diffusion and dna random encoding for secure and efficient image encryption. Signal Process 142:340–353
Das P, Deb S, Kar N, Bhattacharya B (2015) An improved DNA based dual cover steganography. Procedia Comput Sci 46:604–611
Deb S, Bhuyan B (2018) Performance evaluation of grain family and espresso ciphers for applications on resource constrained devices. ICT Express 4(1):19–23
Deb S, Bhuyan B, Gupta NC (2018) Design and analysis of LFSR-based stream cipher. In: Proceedings of the international conference on computing and communication systems. Springer, pp 631–639
Ekdahl P, Johansson T (2002) A new version of the stream cipher snow. In: International workshop on selected areas in cryptography. Springer, pp 47–61
Laiphrakpam DS, Khumanthem MS (2018) A robust image encryption scheme based on chaotic system and elliptic curve over finite field. Multimed Tools Appl 77(7):8629–8652
Praveenkumar P, Amirtharajan R, Thenmozhi K, Rayappan JBB (2015) Triple chaotic image scrambling on RGB–a random image encryption approach. Secur Commun Netw 8(18):3335–3345
Shah T, Hussain I, Gondal MA, Mahmood H (2011) Statistical analysis of S-box in image encryption applications based on majority logic criterion. Int J Phys Sci 6(16):4110–4127
Shannon C (1948) A mathematical theory of communication. Bell Syst Tech J 27:376–423, 623–656. Discrepancy and integration of continuous functions. J Approx Theory 52:121–131
Wang Y, Li T (2010) Study on image encryption algorithm based on arnold transformation and chaotic system. In: 2010 international conference on intelligent system design and engineering application (ISDEA), vol 2. IEEE, pp 449–451
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Deb, S., Biswas, B., Bhuyan, B. (2020). Advanced Image Encryption Scheme Using Snow Stream Cipher. In: Hitendra Sarma, T., Sankar, V., Shaik, R. (eds) Emerging Trends in Electrical, Communications, and Information Technologies. Lecture Notes in Electrical Engineering, vol 569. Springer, Singapore. https://doi.org/10.1007/978-981-13-8942-9_67
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DOI: https://doi.org/10.1007/978-981-13-8942-9_67
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