• DocumentCode
    3369997
  • Title

    A Symmetric Image Encryption Scheme Using Chaotic Baker Map and Lorenz System

  • Author

    Chong Fu ; Wen-Jing Li ; Zhao-Yu Meng ; Tao Wang ; Pei-Xuan Li

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2013
  • fDate
    14-15 Dec. 2013
  • Firstpage
    724
  • Lastpage
    728
  • Abstract
    Chaos-based image encryption techniques have recently been extensively studied due to their superior properties in efficiency. However, many of the proposed schemes suffer from known/chosen plaintext attacks as the key stream used in diffusion stage is usually solely determined by the key. This paper suggests a chaos-based symmetric image cipher with a plaintext-related key stream generation mechanism. In the diffusion stage, the state variables of Lorenz system are selected according to the plain pixel. As a result, the quantified key stream is related to both the key and the plain image, which makes known/chosen plaintext attack practically infeasible. Moreover, compared with 1D chaotic maps that commonly employed in existing ciphers, the Lorenz system has more complicated dynamical property and number of state variables, which further enhance the security of the cryptosystem. Thorough security tests are carried out with detailed analysis, demonstrating the high security of the new scheme.
  • Keywords
    cryptography; image processing; 1D chaotic maps; Lorenz system; chaos-based image encryption techniques; chaos-based symmetric image cipher; chaotic baker map; cryptosystem security; plaintext attacks; plaintext-related key stream generation mechanism; symmetric image encryption scheme; Chaotic communication; Ciphers; Correlation; Encryption; Lorenz system; discretized baker map; image cipher; permutation-diffusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2013 9th International Conference on
  • Conference_Location
    Leshan
  • Print_ISBN
    978-1-4799-2548-3
  • Type

    conf

  • DOI
    10.1109/CIS.2013.158
  • Filename
    6746526