A novel chaos based optical image encryption using fractional Fourier transform and DNA sequence operation

Farah, Mohamed Amine Ben; Guesmi, Ramzi; Kachouri, Abdennaceur; Samet, Mounir

doi:10.1016/j.optlastec.2019.105777

Cited by 225 publications

(104 citation statements)

References 38 publications

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“…where M × N is the size of the image, P 1 (i, j) and P 2 (i, j), respectively, represent the pixel values of the positions corresponding to the plain and cipher. When the NPCR and UACI of the image are close to the ideal values of 99.6094070% and 33.4635070%, the algorithm has good safety [112,121]. As listed in Table 8, the algorithm in this paper is more sensitive to the plain than the NPCR and UACI values in References [111][112][113][114][115][116][117][118][119][120] can meet the security requirements and have a good ability to resist differential attacks.…”

Section: Information Entropymentioning

confidence: 84%

Chaos-Based Application of a Novel Multistable 5D Memristive Hyperchaotic System with Coexisting Multiple Attractors

Liu

Qian

et al. 2020

Complexity

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Novel memristive hyperchaotic system designs and their engineering applications have received considerable critical attention. In this paper, a novel multistable 5D memristive hyperchaotic system and its application are introduced. The interesting aspect of this chaotic system is that it has different types of coexisting attractors, chaos, hyperchaos, periods, and limit cycles. First, a novel 5D memristive hyperchaotic system is proposed by introducing a flux-controlled memristor with quadratic nonlinearity into an existing 4D four-wing chaotic system as a feedback term. Then, the phase portraits, Lyapunov exponential spectrum, bifurcation diagram, and spectral entropy are used to analyze the basic dynamics of the 5D memristive hyperchaotic system. For a specific set of parameters, we find an unusual metastability, which shows the transition from chaotic to periodic (period-2 and period-3) dynamics. Moreover, its circuit implementation is also proposed. By using the chaoticity of the novel hyperchaotic system, we have developed a random number generator (RNG) for practical image encryption applications. Furthermore, security analyses are carried out with the RNG and image encryption designs.

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Section: Information Entropymentioning

confidence: 84%

Chaos-Based Application of a Novel Multistable 5D Memristive Hyperchaotic System with Coexisting Multiple Attractors

Liu

Qian

et al. 2020

Complexity

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“…In [29], the author presents a novel method for improving the Fast Fourier Transform (FFT) based spectral estimation for the diagnosis of faults in induction motors. In [30], the authors propose a new method for optical image encryption using fractional Fourier transform (FRFT). Two-dimensional fast Fourier transform (2D-FFT) is successfully applied to analyse images [31].…”

Section: Related Workmentioning

confidence: 99%

Towards an Improvement of Fourier Transform

Aznag¹,

Datsi²,

Oirrak³

et al. 2020

IJACSA

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With the development of information technology and the coming period of large data, the image signals play an increasingly more significant role in our life because of the phenomenal development of system correspondence innovation, and the comparing high proficiency image handling strategies are requested earnestly. The Fourier transform is an important image processing tool, which is used in a wide range of applications, such as image filtering, image analysis, image compression and image reconstruction. It 's the simplest among the other transformation method used in mathematics. The real time consumption is lesser due to this method. It has a vast use in image processing, particularly object 2D, 3D and other representation. This paper proposes a new Fourier transform which is called Non Uniform Fourier Transform (NUFT). The proposed descriptor takes into consideration the change of point index. Also, an application is made on 2D set of points and a real image. The main advantages of the proposed transform are invariance under change of index point and robustness to noise. Also, the extraction of invariant under rotation and affinity is immediate because the linearity is assured. The proposed descriptor is tested on MPEG 7 database and compared with the normal Fourier transform to shows its efficiency. The experimental results prove the effectiveness of the proposed descriptor.

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“…In the present era, due to the exponential increase in the transmission of multimedia data over an insecure channel (Internet), security has become a very demanding research area. To prevent the data from the eavesdropper, researcher are developing new encryption algorithms [1]- [5].…”

Section: Introductionmentioning

confidence: 99%

Detecting the Security Level of Various Cryptosystems Using Machine Learning Models

et al. 2021

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A novel chaos based optical image encryption using fractional Fourier transform and DNA sequence operation

Cited by 225 publications

References 38 publications

Chaos-Based Application of a Novel Multistable 5D Memristive Hyperchaotic System with Coexisting Multiple Attractors

Chaos-Based Application of a Novel Multistable 5D Memristive Hyperchaotic System with Coexisting Multiple Attractors

Towards an Improvement of Fourier Transform

Detecting the Security Level of Various Cryptosystems Using Machine Learning Models

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