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A Symmetric Plaintext-Related Color Image Encryption System Based on Bit Permutation.
Cai, Shuting; Huang, Linqing; Chen, Xuesong; Xiong, Xiaoming.
Afiliação
  • Cai S; School of Automation, Guangdong University of Technology, Guangzhou 510006, China.
  • Huang L; School of Automation, Guangdong University of Technology, Guangzhou 510006, China.
  • Chen X; School of Applied Mathematics, Guangdong University of Technology, Guangzhou 510006, China.
  • Xiong X; School of Automation, Guangdong University of Technology, Guangzhou 510006, China.
Entropy (Basel) ; 20(4)2018 Apr 13.
Article em En | MEDLINE | ID: mdl-33265373
Recently, a variety of chaos-based image encryption algorithms adopting the traditional permutation-diffusion structure have been suggested. Most of these algorithms cannot resist the powerful chosen-plaintext attack and chosen-ciphertext attack efficiently for less sensitivity to plain-image. This paper presents a symmetric color image encryption system based on plaintext-related random access bit-permutation mechanism (PRRABPM). In the proposed scheme, a new random access bit-permutation mechanism is used to shuffle 3D bit matrix transformed from an original color image, making the RGB components of the color image interact with each other. Furthermore, the key streams used in random access bit-permutation mechanism operation are extremely dependent on plain image in an ingenious way. Therefore, the encryption system is sensitive to tiny differences in key and original images, which means that it can efficiently resist chosen-plaintext attack and chosen-ciphertext attack. In the diffusion stage, the previous encrypted pixel is used to encrypt the current pixel. The simulation results show that even though the permutation-diffusion operation in our encryption scheme is performed only one time, the proposed algorithm has favorable security performance. Considering real-time applications, the encryption speed can be further improved.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article