A secure image encryption scheme based on chaotic maps and affine transformation

Ahmad, Jawad; Hwang, Seong Oun

doi:10.1007/s11042-015-2973-y

Cited by 150 publications

(83 citation statements)

References 44 publications

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“…Similarly, lower values of PSNR between the plain and cipher images indicate more secure image encryption, as lower values indicate greater differences. The lower PSNR values of plain to ciphered images in Table 8 indicate that the proposed algorithm encrypts better than those of [65][66][67]. An alternative means of quality checking is at the receiver side, where a ciphered image may lose some data or get blurred.…”

Section: Robustness Against Occlusion Attackmentioning

confidence: 99%

Fast and Efficient Image Encryption Algorithm Based on Modular Addition and SPD

Butt

Khan

et al. 2020

Entropy

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Bit-level and pixel-level methods are two classifications for image encryption, which describe the smallest processing elements manipulated in diffusion and permutation respectively. Most pixel-level permutation methods merely alter the positions of pixels, resulting in similar histograms for the original and permuted images. Bit-level permutation methods, however, have the ability to change the histogram of the image, but are usually not preferred due to their time-consuming nature, which is owed to bit-level computation, unlike that of other permutation techniques. In this paper, we introduce a new image encryption algorithm which uses binary bit-plane scrambling and an SPD diffusion technique for the bit-planes of a plain image, based on a card game trick. Integer values of the hexadecimal key SHA-512 are also used, along with the adaptive block-based modular addition of pixels to encrypt the images. To prove the first-rate encryption performance of our proposed algorithm, security analyses are provided in this paper. Simulations and other results confirmed the robustness of the proposed image encryption algorithm against many well-known attacks; in particular, brute-force attacks, known/chosen plain text attacks, occlusion attacks, differential attacks, and gray value difference attacks, among others.

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Section: Robustness Against Occlusion Attackmentioning

confidence: 99%

Fast and Efficient Image Encryption Algorithm Based on Modular Addition and SPD

Butt

Khan

et al. 2020

Entropy

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“…To compare the effectiveness of this work, the execution time is compared with other related encryption schemes shown in Table 12 and Table 13. The data in Table 12 shows the proposed scheme has better encryption efficiency than that in [65] and [74], and the decryption time consumption of this work is also shorter than other reference schemes in Table 13. Thus, the proposed method provides sound security as well as low time complexity.…”

Section: Time Analysismentioning

confidence: 91%

A robust image encryption algorithm based on Chua's circuit and compressive sensing

et al. 2019

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In terms of Chua's circuit system, compressive sensing (CS) and Haar wavelet, a novel image compression-encryption scheme (CES) is proposed in this paper. Firstly, the plaintext image is decomposed into approximate component and detail components through Haar wavelet. Then the approximate component is diffused by the threshold processing of local binary patterns (LBP) operator-based chaotic sequence which is produced by the combination of Chua's circuit and Logistic map. Next, the Lissajous map is applied to generate the chaos-combined asymptotic deterministic random measurement matrices (CADRMM) which are employed to measure the detail components in different compression ratios. In addition, the combination of mapped approximate and detail components is shuffled by the Logistic map. The experimental results and simulation analysis prove that the proposed cryptosystem is capable of reducing data for transmission and has good security performance under various attacks, especially for the shear and noise attacks.

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“…If the initial condition value is insignificantly changed the output at other ends will show immensely fickleness. Chaos behavior exists surrounding when looking into nature [49][50][51][52][53][54][55]. The basic schematic chart of image encryption is shown in Figure 1.…”

Section: Nonlinear Mechanismmentioning

confidence: 99%

A Novel Hybrid Secure Image Encryption Based on Julia Set of Fractals and 3D Lorenz Chaotic Map

Masood

Ahmad

Shah

et al. 2020

Entropy

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111

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Chaos-based encryption schemes have attracted many researchers around the world in the digital image security domain. Digital images can be secured using existing chaotic maps, multiple chaotic maps, and several other hybrid dynamic systems that enhance the non-linearity of digital images. The combined property of confusion and diffusion was introduced by Claude Shannon which can be employed for digital image security. In this paper, we proposed a novel system that is computationally less expensive and provided a higher level of security. The system is based on a shuffling process with fractals key along with three-dimensional Lorenz chaotic map. The shuffling process added the confusion property and the pixels of the standard image is shuffled. Three-dimensional Lorenz chaotic map is used for a diffusion process which distorted all pixels of the image. In the statistical security test, means square error (MSE) evaluated error value was greater than the average value of 10000 for all standard images. The value of peak signal to noise (PSNR) was 7.69(dB) for the test image. Moreover, the calculated correlation coefficient values for each direction of the encrypted images was less than zero with a number of pixel change rate (NPCR) higher than 99%. During the security test, the entropy values were more than 7.9 for each grey channel which is almost equal to the ideal value of 8 for an 8-bit system. Numerous security tests and low computational complexity tests validate the security, robustness, and real-time implementation of the presented scheme.Entropy 2020, 22, 274 2 of 28 scientist Claude Shannon in the year 1949, the same person introduced the property of confusion and diffusion. The property of randomness helped in securing digital multimedia information. The security of digital bitstream became one of the central issues when the data was transformed into a digital bitstream. The privacy of digital information posed a new problem in the digital world. The secure digital data in the form of binary bits are openly accessible for hackers. The data can be easily obtainable from the far site using the internet. It needs proper measurements to secure digital information over an insecure line of communication [1][2][3]. The digital data can be secured by hiding the identity of the original digital image over the secret cover image or another approach is pixels distortion or encryption. The first method of securing digital information is information hiding techniques and the study of steganography, which means the value of the data is preserved under the secret image. The image security is a very important issue as compared to textual security, where image pixels are to be examined concerning nearby pixels in a different orientation. The more pixels are dissimilar means the proposed encryption technique is more suitable for brute force attacks. Moreover, plain image pixels are always correlated to each other where an attacker can easily find secret information. Chaos-based encryption technique is preferred over some ...

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A secure image encryption scheme based on chaotic maps and affine transformation

Cited by 150 publications

References 44 publications

Fast and Efficient Image Encryption Algorithm Based on Modular Addition and SPD

Fast and Efficient Image Encryption Algorithm Based on Modular Addition and SPD

A robust image encryption algorithm based on Chua's circuit and compressive sensing

A Novel Hybrid Secure Image Encryption Based on Julia Set of Fractals and 3D Lorenz Chaotic Map

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