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Fast and Secure Video Encryption Using Divide-and-Conquer and Logistic Tent Infinite Collapse Chaotic Map

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Computer Vision and Image Processing (CVIP 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1567))

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Abstract

In this paper, we propose a fast and secure method for compression independent video encryption. A divide-and-conquer type approach is taken where frames in a video are processed at shot level. Temporal redundancy among the frames in a shot are exploited next to derive the difference frames, where some of the pixel values are already zero. A further sparse representation of the pixels are obtained by thresholding the non-zero values. We also propose a new chaotic map, namely, Logistic Tent Infinite Collapse map (LT-ICM) which has better chaotic range, complex behaviour, unpredictability, ergodicity, and sensitivity towards initial values and controlling parameters. We permute the pixels of each shot (left after thresholding) with reference to the indices of sorted chaotic sequence generated by LT-ICM. Substitution operation is applied next to change the pixel values. The substituted pixels are arranged into frames and pixels are further substituted at frame level with another chaotic sequence generated by LT-ICM. Experimental results establish that our proposed method is efficient in terms of encryption time, correlation coefficients and entropy values compared to some of the existing methods.

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Correspondence to Jagannath Sethi .

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Sethi, J., Bhaumik, J., Chowdhury, A.S. (2022). Fast and Secure Video Encryption Using Divide-and-Conquer and Logistic Tent Infinite Collapse Chaotic Map. In: Raman, B., Murala, S., Chowdhury, A., Dhall, A., Goyal, P. (eds) Computer Vision and Image Processing. CVIP 2021. Communications in Computer and Information Science, vol 1567. Springer, Cham. https://doi.org/10.1007/978-3-031-11346-8_14

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  • DOI: https://doi.org/10.1007/978-3-031-11346-8_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-11345-1

  • Online ISBN: 978-3-031-11346-8

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