In this paper, a chaotic communication method based on the Cubature Kalman Filter (CKF) is presented. Using CKF, state estimation of a chaotic dynamical system and synchronization, in the presence of processing noise and measurement noise, are presented. The proposed method is then applied to a private secure communication setup, and an image encryption algorithm is introduced, where the original image is encoded by a chaotic state. Simulation results show that the original image is well masked in the cipher texts and is recovered successfully from the chaotic signals. Further, the cryptanalysis is conducted in detail through histogram, correlation of two adjacent pixels, differential analysis, information entropy, key and computational complexity analysis to demonstrate the high security, sensitivity and speed of the proposed encryption scheme.
All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering