Skip to main content
SpringerLink
Log in

Design and Implementation of Pseudo-Random Sequence Generator Based on Logistic Chaotic System and m-Sequence Using FPGA

  • Conference paper
  • First Online:
Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 82))

Abstract

Based on logistic chaotic system combined with m-sequence, a pseudo-random sequence generator is implemented on FPGA (Field-Programmable Gate Array) using DSP Builder design technology. The NIST (National Institute of Standard and Technology) standard called statistical test suite for random and pseudo-random number generators is used to test the pseudo-random sequence generated the generator. The results show that the sequence of the system has good random characteristics and can be applied to the actual stream key encryption system.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lorenz, E.N.: Deterministic nonperiodic flows. J. Atmos. Sci. 20, 130–141 (1963)

    Article  Google Scholar 

  2. Li, T.Y., Yorke, J.A.: Period three implies chaos. J. Am. Math. Monthly 80(10), 985–992 (1975)

    Article  MathSciNet  MATH  Google Scholar 

  3. Wang, G.Y., Zheng, Y., Liu, J.B.: A hyperchaotic Lorenz attractor and its circuit implementation. J. Acta Phys. Sinca 56(6), 3113–3120 (2007)

    MathSciNet  MATH  Google Scholar 

  4. Liu, Y.Z.: A new hyperchaotic Lü system and its circuit realization. J. Acta Phys. Sinca 57(3), 1439–1443 (2008)

    MATH  Google Scholar 

  5. Cuomo, K.M., Oppenheim, A.V., Strogatz, S.: Synchronization of Lorenz-based chaotic circuits with applications to communications. J. IEEE Trans. CAS-II 40(10), 626–632 (1993)

    Google Scholar 

  6. Cuomo, K.M., Oppenheim, A.: Circuit implementation if synchronized chaos with application to communication. J. Phys. Rev. Lett. 71, 65–68 (1993)

    Article  Google Scholar 

  7. Zhou, W.J., Yu, S.M.: Chaotic digital communication system based on field programmable gate array technology - design and Implementation. J. Acta Phys. Sinca 58(1), 113–119 (2009)

    Google Scholar 

  8. Wang, G.Y., Bao, X.L., Wang, Z.L.: Design and FPGA implementation of a new hyperchaotic system. J. Chin. Phys. B 17(10), 3596–3602 (2008)

    Article  Google Scholar 

  9. May, R.: Simple mathematical model with very complicated dynamic. J. Nature 261, 459–467 (1976)

    Article  Google Scholar 

  10. Zhao, B.S., Qi, C.Y.: Chaotic signal generator design based on discrete system. J. Inf. Hiding Multimedia Sig. Process. 7(1), 50–58 (2016)

    Google Scholar 

Download references

Acknowledgment

Project supported by the National Natural Science Foundation of China (Grant Nos. 61471158), and Project supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20132301110004).

Author information

Authors and Affiliations

  1. College of Electronic Engineering, Heilongjiang University, Harbin, China

    Kai Feng & Qun Ding

  2. Institute of Technology, Harbin, People’s Republic of China

    Kai Feng & Qun Ding

  3. College of Electronic Engineering, Heilongjiang University, Harbin, China

    Kai Feng & Qun Ding

Authors
  1. Kai Feng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qun Ding
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Qun Ding .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Swinburne University of Technology, Hawthorn, Victoria, Australia

    Pei-Wei Tsai

  3. Universiti Teknologi Petronas, Teronoh, Malaysia

    Junzo Watada

  4. University of Canberra, Bruce, Aust Capital Terr, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Feng, K., Ding, Q. (2018). Design and Implementation of Pseudo-Random Sequence Generator Based on Logistic Chaotic System and m-Sequence Using FPGA. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-319-63859-1_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-63859-1_44

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63858-4

  • Online ISBN: 978-3-319-63859-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation