An Asymmetric Image Cryptosystem Based on the Adaptive Synchronization of an Uncertain Unified Chaotic System and a Cellular Neural Network
學年 102
學期 1
出版（發表）日期 2013-10-01
作品名稱 An Asymmetric Image Cryptosystem Based on the Adaptive Synchronization of an Uncertain Unified Chaotic System and a Cellular Neural Network
作品名稱（其他語言）
著者 Cheng, Chao-Jung; Cheng, Chi-Bin
單位 淡江大學資訊管理學系
出版者 Amsterdam: Elsevier BV
著錄名稱、卷期、頁數 Communications in Nonlinear Science and Numerical Simulation 18(10), pp.2825–2837
摘要 Chaotic dynamics provide a fast and simple means to create an excellent image cryptosystem, because it is extremely sensitive to initial conditions and system parameters, pseudorandomness, and non-periodicity. However, most chaos-based image encryption schemes are symmetric cryptographic techniques, which have been proven to be more vulnerable, compared to an asymmetric cryptosystem. This paper develops an asymmetric image cryptosystem, based on the adaptive synchronization of two different chaotic systems, namely a unified chaotic system and a cellular neural network. An adaptive controller with parameter update laws is formulated, using the Lyapunov stability theory, to asymptotically synchronize the two chaotic systems. The synchronization controller is embedded in the image cryptosystem and generates a pair of asymmetric keys, for image encryption and decryption. Using numerical simulations, three sets of experiments are conducted to evaluate the feasibility and reliability of the proposed chaos-based image cryptosystem.
關鍵字 Asymmetric image cryptosystem; Adaptive synchronization; Chaotic systems; Unified chaotic system; Cellular neural networks
語言 en_US
ISSN 1007-5704
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Cheng, Chao-Jung
審稿制度 是
國別 NLD
公開徵稿
出版型式 紙本
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