Abstract
The digital image, as the critical component of information transmission and storage, has been widely used in the fields of big data, cloud and frog computing, Internet of things, and so on. Due to large amounts of private information in the digital image, the image protection is fairly essential, and the designing of the encryption image scheme has become a hot issue in recent years. In this paper, to resolve the shortcoming that the probability density distribution (PDD) of the chaotic sequences generated in the original two-dimensional coupled map lattice (2D CML) model is uneven, we firstly proposed an improved 2D CML model according to adding the offsets for each node after every iteration of the original model, which possesses much better chaotic performance than the original one, and also its chaotic sequences become uniform. Based on the improved 2D CML model, we designed a compressive image encryption scheme. Under the condition of different keys, the uniform chaotic sequences generated by the improved 2D CML model are utilized for compressing, confusing, and diffusing, respectively. Meanwhile, the message authentication code (MAC) is employed for guaranteeing that the encryption image be integration. Finally, theoretical analysis and simulation tests both demonstrate that the proposed image encryption scheme owns outstanding statistical, well encryption performance, and high security. It has great potential for ensuring the digital image security in application.
Highlights
In the recent years, the digital image, as an important carrier tool of information transmission and storage, has been popularly used in the fields of big data, cloud and frog computing, Internet of things, and so on [1,2,3,4,5]. e digital image contains personal privacy, commercial, and important military information. us, the leaking of this important information leads to some serious consequences [6, 7]
To authenticate that the chaotic sequences generated by the improved 2D CML model are independent, only the independent sequences can be used as the chaotic-based measurement matrix for compressing the digital image
Based on the proposed 2D CML model, unitizing the most complexity of the improved model and the high efficiency of the Compressive sensing (CS) to enhance the security and efficiency of the encryption scheme, we design a novel safe image encryption scheme . e key components of the scheme are depicted in Figure 9, and the main flow flat contains the processing of discrete cosine transform (DCT), CS, diffusion, and confusion
Summary
The digital image, as an important carrier tool of information transmission and storage, has been popularly used in the fields of big data, cloud and frog computing, Internet of things, and so on [1,2,3,4,5]. e digital image contains personal privacy, commercial, and important military information. us, the leaking of this important information leads to some serious consequences [6, 7]. Based on the 2D Nonadjacent CML model, the digital image encryption scheme was proposed [15], and theoretical analysis and numerical simulation demonstrate that the digital image encryption scheme is effective. Based on the improved 2D CML model, a novel compressive image encryption scheme is designed. En, according to another key of the improved 2D CML model, the chaotic sequences for confusing and diffusing are produced. (ii) Based on the improved 2D CML model, the proposed image encryption scheme is designed. The chaotic sequences generated by the improved model are used for compressing, confusing, and diffusing, respectively.
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