Deciphering an RGB color image cryptosystem based on Choquet fuzzy integral

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• 作者：Yushu Zhang ; Wenying Wen ; Yongfei Wu ; Rui Zhang…
• 关键词：Color image encryption ; Cryptanalysis ; Choquet fuzzy integral ; Shift–diffusion
• 刊名：Neural Computing and Applications
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：28
• 期：1
• 页码：165-169
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Probability and Statistics in Computer Science; Computational Science and Engineering; Image Processing and Computer Visi
• 出版者：Springer London
• ISSN：1433-3058
• 卷排序：28

文摘

For the purpose of designing better color image cryptosystems, it is necessary to perform a mathematically rigorous security analysis for the existing ones. In this study, a Choquet fuzzy integral-based color image cryptosystem with shift–diffusion architecture is cryptanalyzed. Firstly, it is demonstrated that the color image cryptosystem is irreversible, since the encryption algorithm cannot be decrypted correctly. Meanwhile, a simple improvement is presented to guarantee the reversibility. Moreover, a cryptanalysis of the improved scheme is proposed and results show the improved color image cryptosystem can be broken by a known plain/cipher image pair. The shift–diffusion architecture should alter the external key every time for security consideration.