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Chaotic secure communication based on particle filtering

Author

Listed:
  • Zhang, Bai
  • Chen, Maoyin
  • Zhou, Donghua

Abstract

Applying the particle filtering technique, this paper considers the problem of chaotic secure communication. Even if there exist system noise and measurement noise in chaotic maps, the modulated messages can be estimated by a modified particle filter algorithm, i.e. a particle filter with message estimation. Furthermore, the driving signal can be arbitrarily nonlinear, which improves the security level for communication. Simulation results of Holmes map verify our main result.

Suggested Citation

  • Zhang, Bai & Chen, Maoyin & Zhou, Donghua, 2006. "Chaotic secure communication based on particle filtering," Chaos, Solitons & Fractals, Elsevier, vol. 30(5), pages 1273-1280.
    • Handle: RePEc:eee:chsofr:v:30:y:2006:i:5:p:1273-1280
    DOI: 10.1016/j.chaos.2005.09.019
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    References listed on IDEAS

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    1. Chen, Maoyin & Zhou, Donghua & Shang, Yun, 2005. "A sliding mode observer based secure communication scheme," Chaos, Solitons & Fractals, Elsevier, vol. 25(3), pages 573-578.
    2. Chen, Maoyin & Zhou, Donghua & Shang, Yun, 2005. "A new observer-based synchronization scheme for private communication," Chaos, Solitons & Fractals, Elsevier, vol. 24(4), pages 1025-1030.
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    Cited by:

    1. Han, S. & Chang, E., 2009. "Chaotic map based key agreement with/out clock synchronization," Chaos, Solitons & Fractals, Elsevier, vol. 39(3), pages 1283-1289.
    2. Aguilar-Bustos, A.Y. & Cruz-Hernández, C., 2009. "Synchronization of discrete-time hyperchaotic systems: An application in communications," Chaos, Solitons & Fractals, Elsevier, vol. 41(3), pages 1301-1310.
    3. Han, S. & Chang, E. & Dillon, T. & Hwang, M. & Lee, C., 2009. "Identifying attributes and insecurity of a public-channel key exchange protocol using chaos synchronization," Chaos, Solitons & Fractals, Elsevier, vol. 40(5), pages 2569-2575.

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