Chaotic multimedia stream cipher scheme based on true random sequence combined with tree parity machine | Multimedia Tools and Applications Skip to main content
Springer Nature Link
Log in

Chaotic multimedia stream cipher scheme based on true random sequence combined with tree parity machine

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

A new algorithm is presented in this paper by combining the true random sequences and the Tree Parity Machine (TPM), which is proven experimentally. Different from common method, true random sequences are proposed as dynamic inputs of TPM in this work compared to the pseudo-random sequences in the latest report. Therefore, several weaknesses of pseudo-random sequences can be overcome including finite precision effect, short cycle effect, and the dynamical property degradation. True random sequences are generated by artificial circuits, then, going through TPM neural networks. A series of key stream can be generated by the operation of XOR (exclusive OR) in the output of the TPMs. Randomness test shows that the final key stream can pass 15 tests proscribed by the National Institute of Standards and Technology (NIST). It was used in image encryption in the end, which demonstrates the improved randomness and gives a very promising prospect in secret communications.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Ai XX, Sun KH, He SB (2014) Compound attractors between different chaotic systems. Acta Phys Sin 63(4):040503–8

    Google Scholar 

  2. Amaki T, Hashimoto M, Onoye T (2014) A process and temperature tolerant oscillator -based true random number generator. Ieice Trans Fund Elect Commun Comput Sci E97A(12):2393–2399

    Article  Google Scholar 

  3. Azoug SE, Bouguezel S (2016) A non-linear preprocessing for opto-digital image encryption using multiple-parameter discrete fractional Fourier transform. Opt Commun 359:85–94

    Article  Google Scholar 

  4. Bao BC, Liu Z (2008) A hyperchaotic attractor coined from chaotic Lu system. Chin Phys Lett 25(7):2396–2399

    Article  Google Scholar 

  5. Boehl E (2014) Simple true random number generator for any semi-conductor technology. IET Comput Digit Tech 8(6):239–245

    Article  Google Scholar 

  6. Chen SS (2011) The Post-Processing of Physical True Random Number Generation Based on Chaotic Laser. MS Thesis (Taiyuan: Taiyuan University of Technology.)

  7. Chen TM, Jiang RR (2013) New hybrid stream cipher based on chaos and neural networks. Acta Phys Sin 62(4):040301–7

    Google Scholar 

  8. Chen XJ, Li Z, Cai JP, Bai BM (2011) New complexity metric of chaotic pseudorandom sequences using fuzzy relationship entropy. Acta Phys Sin 60(6):064215–10

    Google Scholar 

  9. Kinzel W, Kanter I (2002) Interacting neural networks and cryptography. Adv Solid State Phys 42:383–391

    Article  MATH  Google Scholar 

  10. Kocarev L, Jakimoski G, Stojanovski T (1998) From chaotic maps to encryption schemes. IEEE Circuits Syst 98 (Monterey:IEEE) 4:514–517

    Google Scholar 

  11. Li X, Zhang GJ, Zhang XY (2015) Image encryption algorithm with compound chaotic maps. J Ambient Intell Humaniz Comput 6(5):563–570

    Article  Google Scholar 

  12. Liu YJ, Yang QG, Pang GP (2010) A hyperchaotic system from the rabinovich system. J Comput Appl Math 234(1):101–113

    Article  MathSciNet  MATH  Google Scholar 

  13. Luo LG, Tee TJ, Chu PL (1998) Chaotic behavior in erbium-doped fiber-ring lasers. J Opt Soc Am B 15(3):972–978

    Article  Google Scholar 

  14. Moqadasi H, Ghaznavi-Ghoushchi M (2015) B.A new Chua’s circuit with monolithic Chua’s diode and its use for efficient true random number generation in CMOS 180nm. Analog Integr Circ Sig Process 82:719–731

    Article  Google Scholar 

  15. NIST Special Publication 800–22 (2011) http://csrc nistgovgroupsSTtoolkitrngdocumentation_software. Html

  16. Tuncer T, Avaroglu E, Turk M (2014) Implementation of Non-periodic sampling true random number generator on FPGA. Inf Midem-J Microelectron Electron Comp Mat 44(4):296–302

    Google Scholar 

  17. Wang GY, He HL (2008) A new rosslor hyperchaotic system and its realization with systematic circuit parameter design. Chinese Physics B 17(11):4014–4021

    Article  Google Scholar 

  18. Wang XY, Wang MJ (2008) A hyperchaos generated from Lorenz system. Physical A 387:3751–3758

    Article  MathSciNet  Google Scholar 

  19. Wu XJ, Kan HB, Kurths J (2015) A new color image encryption scheme based on DNA sequences and multiple improved 1D chaotic maps. Appl Soft Comput 37:24–39

    Article  Google Scholar 

  20. Wu JJ, Xie ZW, Liu ZJ et al (2016) Multiple -image encryption based on computational ghost imaging. Opt Commun 359:38–43

    Article  Google Scholar 

  21. Yanchuk S, Kapitaniak T (2001) Symmetry-increasing bifurcation as a predictor of a chaos-hyperchaos transition in coupled systems. Phys Rev E 64:056235–5

    Article  Google Scholar 

  22. Yin RM, Yuan J, Shan XM (2011) Weak key analysis for chaotic cipher based on randomness properties. Sci China Informat Sci 41(7):777–788

    Google Scholar 

  23. Zhang HY, Wang RH (2012) Image encryption technology based on composite chaotic system and symmetric encryption algorithm. Key Eng Mater 500:465–470

    Article  Google Scholar 

  24. Zhang W, Yu H, Zhao YL et al (2016) Image encryption based on three-dimensional bit matrix permutation. Signal Process 118:36–50

    Article  Google Scholar 

  25. Zhou GM, Zhang DX, Liu YJ et al (2015) A novel image encryption algorithm based on chaos and Line map. Neurocomputing 169:150–157

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Electronic Science and Engineering, Jilin University, Changchun, China

    Xin Pu & Xiao-jian Tian

  2. Electronic Engineering Department, College of Optical and Electronical Information Changchun University of Science and Technology, Changchun, China

    Xin Pu, Jing Zhang, Chun-yan Liu & Jing Yin

Authors
  1. Xin Pu
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Xiao-jian Tian
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Jing Zhang
    View author publications

    You can also search for this author inPubMed Google Scholar

  4. Chun-yan Liu
    View author publications

    You can also search for this author inPubMed Google Scholar

  5. Jing Yin
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Xiao-jian Tian.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pu, X., Tian, Xj., Zhang, J. et al. Chaotic multimedia stream cipher scheme based on true random sequence combined with tree parity machine. Multimed Tools Appl 76, 19881–19895 (2017). https://doi.org/10.1007/s11042-016-3728-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-016-3728-0

Keywords