Published November 1, 2018 | Version v1
Journal article

A novel pseudo-random coupled LP spatiotemporal chaos and its application in image encryption

  • 1. School of Information Science and Technology, Dalian Maritime University, Dalian 116026 (China)
  • 2. Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024 (China)
  • 3. School of Information Science and Technology, Xiamen University Tan Kah Kee College, Zhangzhou 363105 (China)
  • 4. College of Software, Henan University, Kaifeng 475004 (China)

Description

In this paper, first, we investigate a novel one-dimensional logistic-PWLCM (LP) modulation map which is derived from the logistic and PWLCM maps. Second, we propose a novel PCLML spatiotemporal chaos in pseudo-random coupling method that can accelerate the system behavior of the fully spatial chaos. Here, because the better chaotic properties include a wide range of parameter settings and better ergodicity than a logistic map, the LP is used in PCLML as f(x). The Kolmogorov–Sinai entropy density and universality and the bifurcation diagram are employed to investigate the chaotic behaviors of the proposed PCLML model. Finally, we apply the LP and PCLML chaotic systems to image encryption to improve the effectiveness and security of the encryption scheme. By combining self-generating matrix model M and dynamic substitution box (S-Box) methods, we design a new image encryption algorithm. Numerical simulations and security analysis have been carried out to demonstrate that the proposed algorithm has a high security level and can efficiently encrypt several different kinds of images into random-like images. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1674-1056/27/11/110502

Additional details

Publishing Information

Journal Title
Chinese Physics. B
Journal Volume
27
Journal Issue
11
Journal Page Range
[11 p.]
ISSN
1674-1056

INIS

Country of Publication
China
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52030363
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ALGORITHMS; BIFURCATION; CHAOS THEORY; COMPUTERIZED SIMULATION; CRYPTOGRAPHY; DENSITY; ENTROPY; IMAGES; ONE-DIMENSIONAL CALCULATIONS; RANDOMNESS; SECURITY
Descriptors DEC
MATHEMATICAL LOGIC; MATHEMATICS; PHYSICAL PROPERTIES; SIMULATION; THERMODYNAMIC PROPERTIES