An image encryption scheme using generalized Arnold map and affine cipher

Zhu, Hegui; Zhao, Cheng; Zhang, Xiangde; Yang, Lianping

doi:10.1016/j.ijleo.2014.06.149

Cited by 78 publications

(46 citation statements)

References 24 publications

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“…More particularly, one-dimensional non-linear iterative functions are capable of showing chaotic behavior under some conditions related to the tuning parameter and initial conditions. Moreover, their lower computational complexity has facilitated their adoption in many image encryption schemes based on several chaotic maps, such as Matthews [25], logistic [26], Henon [27], Skew Tent [28], Arnold [29], and Baker [30].…”

Section: Encryption Improvementmentioning

confidence: 99%

SoC-Based Edge Computing Gateway in the Context of the Internet of Multimedia Things: Experimental Platform

Jridi

Chapel

Dorez

et al. 2018

JLPEA

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This paper presents an algorithm/architecture and Hardware/Software co-designs for implementing a digital edge computing layer on a Zynq platform in the context of the Internet of Multimedia Things (IoMT). Traditional cloud computing is no longer suitable for applications that require image processing due to cloud latency and privacy concerns. With edge computing, data are processed, analyzed, and encrypted very close to the device, which enable the ability to secure data and act rapidly on connected things. The proposed edge computing system is composed of a reconfigurable module to simultaneously compress and encrypt multiple images, along with wireless image transmission and display functionalities. A lightweight implementation of the proposed design is obtained by approximate computing of the discrete cosine transform (DCT) and by using a simple chaotic generator which greatly enhances the encryption efficiency. The deployed solution includes four configurations based on HW/SW partitioning in order to handle the compromise between execution time, area, and energy consumption. It was found with the experimental setup that by moving more components to hardware execution, a timing speedup of more than nine times could be achieved with a negligible amount of energy consumption. The power efficiency was then enhanced by a ratio of 7.7 times.

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Section: Encryption Improvementmentioning

confidence: 99%

SoC-Based Edge Computing Gateway in the Context of the Internet of Multimedia Things: Experimental Platform

Jridi

Chapel

Dorez

et al. 2018

JLPEA

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show abstract

“…replacement of pixels called confusion and modification of pixel values called diffusion [3] [5] [6]. The flowchart of the proposed cryptosystem is shown in Figure 2.…”

Section: Proposed Cryptosystemmentioning

confidence: 99%

“…For an ideal encryption algorithm, it should be larger than 100 2 to make brute-force attack infeasible [6]. In the cryptosystem, the secret key parameters are 0 , , , x s p q and n .…”

Section: Key Space Analysismentioning

confidence: 99%

“…For the first key sensitivity analysis, a test plain of cameraman image is encrypted with a randomly chosen key of 98.765432 s = , 0 0.123456 x = . Then a slight change 6 …”

Section: Key Sensitivity Analysismentioning

confidence: 99%

“…However, compared to text, digital images have some intrinsic features such as bulk data capacity, high redundancy and strong correlation among adjacent pixels [4] [5]. Hence, these algorithms are not suitable for image encryption [1] [6] due to the requirement of much more processing power, bandwidth and longer time which causes low-level efficiency during encryption and decryption processes [7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Robust Chaos-Based Image Cryptosystem with an Improved Key Generator and Plain Image Sensitivity Mechanism

Oğraş¹,

Türk²

2017

JIS

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In this paper, we propose an effective gray image cryptosystem containing Arnold cat map for pixel permutation and an improved Logistic map for the generation of encryption keys to be used for pixel modification. Firstly, a new chaotic map is designed to show better performance than the standard one in terms of key space range, complexity and uniformity. Generated secret key is not only sensitive to the control parameters and initial condition of the improved map but also strongly depend on the plain image characteristic which provides an effective resistance against statistical and differential attacks. Additionally, to get higher encryption strength of the cryptosystem, both confusion and diffusion processes are performed with different keys in every iterations. Theoretical analysis and simulation results confirm that the proposed algorithm has superior security and effectively encrypts and decrypts the gray images as well.

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Linear‐feedback shift register‐based multi‐ant cellular automation and chaotic map‐based image encryption

Dey

Giri

Jana

et al. 2018

Security and Privacy

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This paper presents an image encryption technique using the LFSR (Linear‐Feedback Shift Register)‐based multiple ants cellular automation with Chaotic map, where LFSR is used to produce pseudo random series that shuffle the pixel positions of an image. We then are using a shared secret key and chaotic map, the each pixel's intensity value of an image is altered and finally gets a ciphered image. Analysis of our proposed method shows a major protection for different statistical attacks. Moreover, our method provides better tradeoff between the entropy and correlation coefficients among the existing methods. The results of investigation and mathematical analysis confirm the protection, flexibility, correctness, reliability, and the robustness of the proposed scheme. The different security analysis confirms that the new encryption algorithm has higher security.

show abstract

An image encryption scheme using generalized Arnold map and affine cipher

Cited by 78 publications

References 24 publications

SoC-Based Edge Computing Gateway in the Context of the Internet of Multimedia Things: Experimental Platform

SoC-Based Edge Computing Gateway in the Context of the Internet of Multimedia Things: Experimental Platform

A Robust Chaos-Based Image Cryptosystem with an Improved Key Generator and Plain Image Sensitivity Mechanism

Linear‐feedback shift register‐based multi‐ant cellular automation and chaotic map‐based image encryption

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