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A Secure RGB Image Encryption Algorithm in Optimized Virtual Planet Domain

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Optimization, Variational Analysis and Applications (IFSOVAA 2020)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 355))

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Abstract

The primary aim of this chapter is to provide an optimized, secure RGB image encryption algorithm using 4D hyper-chaotic system in Virtual Planet Domain (VPD). We have constructed a new keyspace, and it shows that the keyspace can resist brute force attacks infeasible. We have tested the proposed algorithm on standard test images. We have successfully verified the robustness of the proposed algorithm by using commonly known attacks such as the differential, cropped, noise, and entropy attacks. Finally, we compared the proposed technique with existing algorithms, and the data (shown in tables) confirms that the proposed algorithm is competitive and can resist exhaustive attacks efficiently.

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Acknowledgements

The author is thankful to the Science and Engineering Research Board, Government of India, for providing financial support through the project file no: YSS/2015/000930. The author is also grateful to the anonymous referees for their constructive comments and valuable suggestions, which have helped to improve the chapter.

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Authors and Affiliations

  1. Department of Mathematics, Birla Institute of Technology and Science-Pilani, Hyderabad Campus, Hyderabad, 500078, India

    Manish Kumar

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  1. Manish Kumar
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Correspondence to Manish Kumar .

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Editors and Affiliations

  1. Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India

    Vivek Laha

  2. Institut de Mathématiques de Toulouse, Paul Sabatier University, Toulouse, France

    Pierre Maréchal

  3. Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India

    S. K. Mishra

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Kumar, M. (2021). A Secure RGB Image Encryption Algorithm in Optimized Virtual Planet Domain. In: Laha, V., Maréchal, P., Mishra, S.K. (eds) Optimization, Variational Analysis and Applications. IFSOVAA 2020. Springer Proceedings in Mathematics & Statistics, vol 355. Springer, Singapore. https://doi.org/10.1007/978-981-16-1819-2_16

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