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An Integrated Chaotic System with Application to Image Encryption

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Neural Information Processing (ICONIP 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10638))

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Abstract

Chaotic maps are widely applied in many applications. This paper proposes an integrated chaotic system (ICS) to improve the performance of some representative chaotic maps. ICS conducts cascade and nonlinear combination operations to three seed maps such that it has more complex chaotic behaviors and high security levels. A new image encryption algorithm is also developed using ICS. Simulation results on different types of images and security analysis demonstrate that the proposed approach has satisfactory properties in image encryption.

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Acknowledgement

This work was supported in part by the National Natural Science Foundation of China (Nos. 61320106008 and 61571236).

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Authors and Affiliations

  1. School of Communication and Information Technology, Guilin University of Electronic Technology, Guilin, 541004, China

    Jinwen He & Shouhua Wang

  2. Key Laboratory of Intelligent Processing of Computer Image and Graphics, Guilin University of Electronic Technology, Guilin, 541004, China

    Jinwen He, Rushi Lan & Xiaonan Luo

Authors
  1. Jinwen He
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  2. Rushi Lan
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  3. Shouhua Wang
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  4. Xiaonan Luo
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Corresponding author

Correspondence to Rushi Lan .

Editor information

Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, China

    Derong Liu

  2. Guangdong University of Technology, Guangzhou, China

    Shengli Xie

  3. South China University of Technology, Guangzhou, China

    Yuanqing Li

  4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongbin Zhao

  5. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

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He, J., Lan, R., Wang, S., Luo, X. (2017). An Integrated Chaotic System with Application to Image Encryption. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10638. Springer, Cham. https://doi.org/10.1007/978-3-319-70139-4_85

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  • DOI: https://doi.org/10.1007/978-3-319-70139-4_85

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70138-7

  • Online ISBN: 978-3-319-70139-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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