A self-cited pixel summation based image encryption algorithm

Guo-Dong Ye*, Xiao-Ling Huang, Leo Yu Zhang, Zheng-Xia Wang

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

26 Citations (Scopus)

Abstract

In this paper, a novel image encryption algorithm is presented based on self-cited pixel summation. With the classical mechanism of permutation plus diffusion, a pixel summation of the plain image is employed to make a gravity influence on the pixel positions in the permutation stage. Then, for each pixel in every step of the diffusion stage, the pixel summation calculated from the permuted image is updated. The values from a chaotic sequence generated by an intertwining logistic map are selected by this summation. Consequently, the keystreams generated in both stages are dependent on both the plain image and the permuted image. Because of the sensitivity of the chaotic map to its initial conditions and the plain-imagedependent keystreams, any tiny change in the secret key or the plain image would lead to a significantly different cipher image. As a result, the proposed encryption algorithm is immune to the known plaintext attack (KPA) and the chosen plaintext attack (CPA). Moreover, experimental simulations and security analyses show that the proposed permutationdiffusion encryption scheme can achieve a satisfactory level of security.
Original languageEnglish
Article number010501
JournalChinese Physics B
Volume26
Issue number1
DOIs
Publication statusPublished - 1 Jan 2017

Research Keywords

  • gravity
  • image encryption algorithm
  • intertwining logistic map
  • pixel summation
  • security

Fingerprint

Dive into the research topics of 'A self-cited pixel summation based image encryption algorithm'. Together they form a unique fingerprint.

Cite this