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Efficient selective chaotic video stream cipher for SHVC bitstream

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Abstract

This paper presents a chaotic Arnold map (CAM)-based selective encryption (SE) bitstream cipher for the scalable High-Efficiency Video Coding (SHVC). The proposed CAM-based SHVC-SE bitstream cipher employs the CAM for ciphering the coefficients sign bits of Discrete Cosine Transform (DCT), the Motion Vector Difference (MVD) and Sample Adaptive Offset (SAO). The proposed CAM-based SHVC-SE bitstream cipher is designed with the potential of encrypting the SHVC mostly sensitive information bits while preserving the video format compliance characteristic. The performance of the proposed CAM-based SHVC-SE bitstream cipher is compared to with the AES-based SHVC SE in CFB operation mode. The achieved outcomes demonstrates the advantage of employing the CAM in the proposed CAM-based SHVC-SE bitstream cipher that results in decreasing the encoding time for the proposed CAM-based SHVC-SE bitstream cipher compared with the AES-based SHVC SE in in CFB operation mode. Security tests on the proposed CAM-based SHVC-SE bitstream cipher are carried out for testing the robustness of the proposed CAM-based SHVC-SE bitstream cipher against attacks. The results of security tests demonstrated and confirmed the efficiency of the proposed CAM-based SHVC-SE bitstream cipher.

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Acknowledgements

This work was supported by the Deanship of Scientific Research, Taif University Researchers Supporting Project number (TURSP-2020/08), Taif University, Taif, Saudi Arabia.

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Authors and Affiliations

  1. Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia

    Osama S. Faragallah

  2. Department of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

    Ahmed I. Sallam

  3. Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia

    Masoud Alajmi

  4. Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Shebin El-Kom, 32511, Egypt

    Hala S. El-sayed

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  1. Osama S. Faragallah
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  2. Ahmed I. Sallam
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  3. Masoud Alajmi
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  4. Hala S. El-sayed
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Correspondence to Osama S. Faragallah.

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Faragallah, O.S., Sallam, A.I., Alajmi, M. et al. Efficient selective chaotic video stream cipher for SHVC bitstream. Multimed Tools Appl 82, 30689–30708 (2023). https://doi.org/10.1007/s11042-023-14517-8

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  • DOI: https://doi.org/10.1007/s11042-023-14517-8

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