Affiliation:
1. School of Computer Science, Hunan First Normal University, Changsha 410205, China
2. Hunan Provincial Key Laboratory of Informationization for Basic Education, Hunan First Normal University, Changsha 410205, China
Abstract
To improve the randomness of the Chebyshev chaotic sequences by coupling the Logistic map and the Chebyshev map, a new one-dimensional Logistic–Chebyshev chaotic map (LCCM) is first presented in this paper. Several tests, including the bifurcation diagram, Lyapunov exponents, and information entropy, are employed to analyze the dynamics of the LCCM. The proposed LCCM has better ergodicity and unpredictability than the traditional Chebyshev map. Next, a new image encryption algorithm based on the LCCM and multi-level manipulation is proposed. The LCCM is used to control the pixel permutation, bit-level shuffling, and subsequent pixel diffusion based on the modulo and XOR operation. Extensive experiments, including histogram analysis, information entropy, adjacent pixel correlation, and key sensitivity, show that the image encryption algorithm has high security and can effectively resist malicious attacks.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hunan Province
Social Science Foundation of Hunan Province