Image Encryption Algorithm Based on Chaotic Sequence

  • Xiaodi Chen
  • Hong WuEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)


With the rapid development of communication technology and the Internet, the security of image information has also received more attention. The information characteristics of an image can be described by pixel position and pixel value. Therefore, the encryption algorithm for the image is generally based on these two aspects (Commun Nonlinear Sci Number Simulat 17(7):2969–2977, [1]; Int J Bi-furcation Chaos 7(7):1579–1997, [2]). Using a method alone can easily be cracked by an attacker, so image encryption often combines pixel position scrambling with gray value diffusion. In this paper, chaotic sequences are applied to image data encryption, and pixel position scrambling and gray value diffusion are combined to obtain ciphertext images. And the feedback mechanism is introduced in the diffusion link, so that the ciphertext of each pixel is not only related to the current plaintext, but also relevant to the ciphertext of all the previous pixels, thereby increasing the complexity of the ciphertext.


Pixel position Pixel value Gray value diffusion Feedback mechanism Chaotic sequence 


  1. 1.
    Xue KP, Hong PL. Security improvement on an anonymous key agreement protocol based on chaotic maps. Commun Nonlinear Sci Number Simulat. 2012;17(7):2969–77.MathSciNetCrossRefGoogle Scholar
  2. 2.
    Short KM. Signal extraction from chaotic communication. Int J Bifurcat Chaos. 2016;7(7):1579–997.CrossRefGoogle Scholar
  3. 3.
    Wei L (2013) Research on image encryption algorithm based on four-dimensional hyperchaotic map. Harbin, China.Google Scholar
  4. 4.
    Vattulainen I, Ala-Nissila T, Kankaala K. Physical models as tests of randomness. Phys Rev E. 2015;52(3):3205–14.CrossRefGoogle Scholar
  5. 5.
    Li TY, Yorke JA. Entropy and chaos. Adv Math. 2013;3:122–8.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.College of Electronic EngineeringHeilongjiang UniversityHarbinChina

Personalised recommendations