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Video encryption based on hyperchaotic system

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Abstract

With the increasing popularity of multimedia data on the internet and our daily life, the way people get information is becoming more diverse, video is becoming an important part of our dailylife and work. At the same time, the popularity of video also brings new security risks and challenges, more and more people are paying attention to video security issues. Based on hyperchaotic system, this paper proposes and implements a video encryption scheme. The encryption algorithm divide a video stream into a color image stream and an audio stream. Color image is composed of three-dimensional channels of Y, Cb, and Cr, the amount of practical information carried by three channels is different. Therefore, an Anorld transforms and a DNA encoding algorithm is used for the Y channel with more information. The Cb and Cr channels with less information are encrypted by Lorenz hyperchaotic map. Audio information is encrypted by Logistic chaotic map. The paper thoroughly tested the feasibility of the process of encryption and decryption, analyzed the resistance of statistical attacks and completed tests on the histogram, information entropy, and correlation of neighboring pixels. The paper also tested the scheme’s ability to resist violent attacks and completed the analysis of key space, key sensitivity, signal-to-noise ratio, spectrogram, variance, and mean. At the end of the article we test the comparison of capability and efficiency of our scheme and other two methods. Results of experiment show that our scheme has better security and encryption efficiency.

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References

  1. Chen Z, Ip WH, Chan YC, Yung KL (2010) Two-level chaos-based video cryptosystem on h.263 codec. Nonlinear Dyn 62(3):647–664

    Article  Google Scholar 

  2. Cheung KWK, Tsang PWM, Poon TC (2011) Fast Numerical generation and encryption of computer-generated fresnel holograms. Appl Opt 50(7):B46

    Article  Google Scholar 

  3. Li H, Gu Z, Deng L, Yi H, Yang C, Tian Z (2019) A fine-grained video encryption service based on the cloud-fog-local architecture for public and private videos. Sensors 19(24):5366

    Article  Google Scholar 

  4. Li J, Wang C, Chen X, Tang Z, Hui G, Chang C-C (2018) A selective encryption scheme of cabac based on video context in high efficiency video coding. Multimedia Tools and Applications 77(10):12837–12851

    Article  Google Scholar 

  5. Li S, Li C, Lo KT, Chen G (2006) Cryptanalysis of an image encryption scheme. J Elect Imaging 15(4):043012

    Article  Google Scholar 

  6. Lian SG, Sun JS, Wang ZQ (2004) Video encryption and its development. Inf Control 33(5):560–566

    Google Scholar 

  7. Lipton RJ (1995) Dna solution of hard computational problems. Science 268 (5210):542–545

    Article  Google Scholar 

  8. Liu L, Qiang Z, Wei X (2015) A rgb image encryption algorithm based on dna encoding and chaos map. Beijing:contemporary China Press 15(4):043012

    Google Scholar 

  9. Lorenz EN (1963) Deterministic nonperiodic flow. J Atmos Sci 20(2):130–141

    Article  MathSciNet  MATH  Google Scholar 

  10. Lui O-Y, Wong K-W (2013) Chaos-based selective encryption for h. 264/avc. J Syst Softw 86(12):3183–3192

    Article  Google Scholar 

  11. NIST-FIPS Standard (2001) Announcing the advanced encryption standard (aes). Federal Information Processing Standards Publication 197(1-51):3–3

    Google Scholar 

  12. Percival DB, Walden AT, et al. (1993) Spectral analysis for physical applications. Cambridge University Press

  13. Peterson G (1997) Arnold’s cat map. Math Linear Algebra 45:1–7

    Google Scholar 

  14. Shen X, Zhang Y, Wang Y (2007) An alternate structure image encryption algorithm-based on chaotic mapping. Sci China Press 37(1):183–190

    Google Scholar 

  15. Sparrow C (2012) The Lorenz equations: bifurcations, chaos, and strange attractors, vol 41. Springer Science & Business Media

  16. Wang L (2011) The Research of Video Information EncryPtion technology. PhD thesis A dissertation of Beijing university of posts and telecommunications

  17. Wang XY (2007) Hyperchaotic lorenz system. Acta Phys Sin 56(9):5136–5141

    MathSciNet  MATH  Google Scholar 

  18. Wang Z, Lian S, Sun J (2004) Quality analysis of several typical mpeg video encryption algorithms. J Image Graphics 9(4):483–490

    Google Scholar 

  19. Wu M (2003) Research on a chaotic image encrypted approach. J China Inst Commun 24(8):31–36

    Google Scholar 

  20. Xin J, Sui Y, Li X, Geng Z, Tian Z, Nan S, Zhu S (2016) Color image encryption in ycbcr space. In: International conference on wireless communications and signal processing

  21. Yang N (2017) Improvement of digital image encryption algorithm based on chaotic mapping. Technology Innovation and Application 2017(25):9–9

    Google Scholar 

  22. Zhang X, Li T (2017) Research on color image encryption algorithm-based on chaos and gyrator transform. Xi’an University of Posts and Telecommunications

Download references

Acknowledgements

This work is partially supported by the National Natural Science Foundation of China (grant numbers 61772047,61701008), the Open Project Program of State Key Laboratory of Cryptology (grant number. MMKFKT201804), the Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University (grant number. VRLAB2019C03) and the Fundamental Research Funds for the Central Universities (grant number. 328201907).

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Authors and Affiliations

  1. Department of Cyber Security, Beijing Electronic Science and Technology Institute, Beijing, 100070, China

    Xiaodong Li, Haoyang Yu, Hongyu Zhang, Xin Jin, Hongbo Sun & Jing Liu

  2. State Key Laboratory of Cryptology, P.O. Box 5159, Beijing, 100878, China

    Xiaodong Li & Xin Jin

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  1. Xiaodong Li
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  2. Haoyang Yu
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  3. Hongyu Zhang
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  4. Xin Jin
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  5. Hongbo Sun
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  6. Jing Liu
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Correspondence to Xin Jin.

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Li, X., Yu, H., Zhang, H. et al. Video encryption based on hyperchaotic system. Multimed Tools Appl 79, 23995–24011 (2020). https://doi.org/10.1007/s11042-020-09200-1

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  • DOI: https://doi.org/10.1007/s11042-020-09200-1

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