Cubature Kalman filter-based chaotic synchronization and image encryption
作者：
Highlights：
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• Using the Cubature Kalman Filter (CKF), state estimation of a chaotic dynamical system and synchronization, in the presence of processing and measurement noises, are presented.
• The proposed method is applied to a private secure communication scheme and an image encryption algorithm is introduced.
• Simulation results show that the original image is well masked in the cipher texts and is recovered successfully from the chaotic signals.
• The cryptanalysis is conducted in detail, and the high security of the proposed encryption scheme is confirmed.
摘要
•Using the Cubature Kalman Filter (CKF), state estimation of a chaotic dynamical system and synchronization, in the presence of processing and measurement noises, are presented.•The proposed method is applied to a private secure communication scheme and an image encryption algorithm is introduced.•Simulation results show that the original image is well masked in the cipher texts and is recovered successfully from the chaotic signals.•The cryptanalysis is conducted in detail, and the high security of the proposed encryption scheme is confirmed.
论文关键词：Chaos synchronization,Cubature Kalman filter,Secure communication,Image encryption
论文评审过程：Received 1 February 2017, Revised 17 May 2017, Accepted 21 June 2017, Available online 28 June 2017, Version of Record 14 July 2017.
论文官网地址：https://doi.org/10.1016/j.image.2017.06.005
