A new 1D chaotic system for image encryption

By Yicong Zhou, Long Bao, C. L. Philip Chen. Signal Processing, 2014

830 citations recorded by the source corpus.

This paper introduces a simple and effective chaotic system using a combination of two existing one-dimension (1D) chaotic maps (seed maps). Simulations and performance evaluations show that the proposed system is able to produce many 1D chaotic maps with larger chaotic ranges and better chaotic behaviors compared with their seed maps. To investigate its applications in multimedia security, a novel image encryption algorithm is proposed. Using a same set of security keys, this algorithm is able to generate a completely different encrypted image each time when it is applied to the same original image. Experiments and security analysis demonstrate the algorithm's excellent performance in image encryption and various attacks.

Subfields: Computer Vision and Pattern Recognition, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/6c6cb6c2139fa1b5dc31f2dbcca6a308d74aba53

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Zhongyun Hua
2. Yicong Zhou
3. Chi-Man Pun
4. C. L. Philip Chen

In Mathematical Physics

1. Zhongyun Hua
2. Chi-Man Pun
3. Yicong Zhou
4. C. L. Philip Chen

Citations in the corpus

• A RGB image encryption algorithm based on total plain image characteristics and chaos (2015, background): “In [32], the authors present an algorithm with random pixel insertion in original image, and then it is encrypted; therefore, the recovered image (decrypted) has high error between original end decrypted image until 0.”
• 2D Sine Logistic modulation map for image encryption (2015, methodology): “The algorithms include chaos-based image encryption algorithms [10,35,36], wavelet transform-based image encryption algorithms [3,22], recursive-sequence-based image encryption algorithms [38,39], and so on.”
• Cascade Chaotic System With Applications (2015, background): “However, they have several security weaknesses: 1) their chaotic ranges are limited [8]; 2) they have small number of parameters; and 3) their outputs are easy to predict with low computation costs [11]–[13].”
• Image encryption using 2D Logistic-adjusted-Sine map (2016, background): “As many studies have pointed out that many properties of chaotic systems are similar to the counterparts in cryptography since the early 1990s [11,16,36,45,52], chaotic systems are quite suitable for cryptography and have been widely used in image encryption [19,50,51].”