Soleymani Ali, Nordin Md Jan, Sundararajan Elankovan
Software Technology and Management Center (Softam), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
ScientificWorldJournal. 2014;2014:536930. doi: 10.1155/2014/536930. Epub 2014 Aug 28.
The rapid evolution of imaging and communication technologies has transformed images into a widespread data type. Different types of data, such as personal medical information, official correspondence, or governmental and military documents, are saved and transmitted in the form of images over public networks. Hence, a fast and secure cryptosystem is needed for high-resolution images. In this paper, a novel encryption scheme is presented for securing images based on Arnold cat and Henon chaotic maps. The scheme uses Arnold cat map for bit- and pixel-level permutations on plain and secret images, while Henon map creates secret images and specific parameters for the permutations. Both the encryption and decryption processes are explained, formulated, and graphically presented. The results of security analysis of five different images demonstrate the strength of the proposed cryptosystem against statistical, brute force and differential attacks. The evaluated running time for both encryption and decryption processes guarantee that the cryptosystem can work effectively in real-time applications.
成像与通信技术的快速发展已将图像转变为一种广泛存在的数据类型。不同类型的数据，如个人医疗信息、官方信函或政府及军事文件，都通过公共网络以图像形式进行存储和传输。因此，对于高分辨率图像需要一种快速且安全的密码系统。本文提出了一种基于阿诺德猫映射和亨农混沌映射的新型图像加密方案。该方案使用阿诺德猫映射对明文图像和秘密图像进行位级和像素级置换，而亨农映射则用于创建秘密图像以及置换的特定参数。对加密和解密过程都进行了解释、公式化表述并以图形方式呈现。对五幅不同图像的安全分析结果表明了所提出的密码系统在抵御统计攻击、暴力攻击和差分攻击方面的强度。加密和解密过程的评估运行时间保证了该密码系统能够在实时应用中有效运行。
