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Research on a Novel Image Encryption Scheme Based on the Hybrid of Chaotic Maps

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Advances in Neural Networks - ISNN 2010 (ISNN 2010)

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Abstract

This paper presents a novel image encryption scheme based on a hybrid of three order chaotic Chen system and piecewise linear chaotic map (PWLCM). The initial conditions and control parameters of chaotic systems are viewed as the secret key, and combined sequences from these two chaotic systems are employed to encrypt original image. The proposed scheme is described in detail, along with experimental example and security analyses including sensitivity analysis, analysis of correlation of adjacent pixels and information entropy analysis. The results show that the suggested scheme has some desirable properties in a good security cryptosystem.

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Author information

Authors and Affiliations

  1. Office of Academic Affairs, Chongqing University of Science and Technology, Chongqing, 401331, China

    Zhengqiang Guan

  2. School of Electronic Information Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China

    Jun Peng & Shangzhu Jin

Authors
  1. Zhengqiang Guan
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  2. Jun Peng
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  3. Shangzhu Jin
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800, Dongchuan Road, 200240, Shanghai, China

    Liqing Zhang  & Bao-Liang Lu  & 

  2. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water bay, Kowloon, Hong Kong, China

    James Kwok

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© 2010 Springer-Verlag Berlin Heidelberg

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Guan, Z., Peng, J., Jin, S. (2010). Research on a Novel Image Encryption Scheme Based on the Hybrid of Chaotic Maps. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13318-3_29

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  • DOI: https://doi.org/10.1007/978-3-642-13318-3_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13317-6

  • Online ISBN: 978-3-642-13318-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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