教師資料查詢 | 類別: 期刊論文 | 教師: 鄭啟斌 Chi-Bin Cheng (瀏覽個人網頁)

標題: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
語言英文(美國)
ISSN1007-5704
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
國別荷蘭
公開徵稿
出版型式紙本
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