Abstract
This research paper study the application of chaos baker map for digital image encryption in different operation modes. The employed modes include the electronic code book (ECB), cipher block chaining (CBC), output feedback chaining (OFB), and cipher feedback chaining (CFB). The proposed method works by applying the chaos baker map in different operation modes for encrypting digital images. A group of tests were carried out to examine the impact of operation modes on chaos baker-based encryption. This is done using several encryption metrics like visual inspection, statistical measures, entropy measure, encryption quality measures, and noise resistance measures. Simulation results demonstrated the effectively of baker-based encryption in CBC mode.
Highlights
Images, as one of most famous media types, are widespread over various networks
There exist some classical schemes like the Data Encryption Standard (DES), the International Data Encryption Algorithm (IDEA), and the Advanced Encryption Standard (AES) for information security [1], they usually cannot be directly applied to image encryption to yield satisfactory results since intrinsic features of images like bulky capacity, high correlation, and large redundancy [2,3,4]
The results demonstrated that entropy values for encrypted images using the chaos baker-based encryption with electronic code book (ECB), cipher block chaining (CBC), CFB, output feedback chaining (OFB) operation modes are higher than entropy values of plainimages
Summary
As one of most famous media types, are widespread over various networks. How to prevent images from illegal copying and distribution in the era of the Internet is a critical issue. Chaos based image ciphering framework includes chaotic sequence generation, pixel position permutation, and pixel value diffusion. One-dimensional (1D) chaos maps have easy forms and are simple to apply, and some researchers used them to encrypt images. Fridrich put forward symmetric ciphers with two-dimensional (2D) chaotic maps and the experimental results demonstrated good diffusion features regarding the key and the plain image [14]. The 3D fractional-order Lorenz system and Chen chaotic systems were employed to encrypt images by Wu et al and Zhao et al, respectively [3, 24]. Huang et al used a four-dimensional (4D) fractional-order hyperchaotic neural network system to cipher color images, and the experiments demonstrated the effectiveness of the system [25].
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