Image encryption using the two-dimensional logistic chaotic map

Wu, Yue; Yang, Gelan; Jin, Huixia; Noonan, Joseph P.

doi:10.1117/1.jei.21.1.013014

Cited by 277 publications

(149 citation statements)

References 28 publications

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“…Chaotic systems have the following properties: pseudorandomness, extreme sensitivity to the initial values and system parameters, ergodicity, and unpredictability, which make it very suitable for image encryption [10]. Typically, chaos-based image encryption framework includes chaotic sequence generation, pixel position permutation, and pixel value diffusion.…”

Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

Yang

et al. 2017

Complexity

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In the era of the Internet, image encryption plays an important role in information security. Chaotic systems and DNA operations have been proven to be powerful for image encryption. To further enhance the security of image, in this paper, we propose a novel algorithm that combines the fractional-order hyperchaotic Lorenz system and DNA computing (FOHCLDNA) for image encryption. Specifically, the algorithm consists of four parts: firstly, we use a fractional-order hyperchaotic Lorenz system to generate a pseudorandom sequence that will be utilized during the whole encryption process; secondly, a simple but effective diffusion scheme is performed to spread the little change in one pixel to all the other pixels; thirdly, the plain image is encoded by DNA rules and corresponding DNA operations are performed; finally, global permutation and 2D and 3D permutation are performed on pixels, bits, and acid bases. The extensive experimental results on eight publicly available testing images demonstrate that the encryption algorithm can achieve state-of-the-art performance in terms of security and robustness when compared with some existing methods, showing that the FOHCLDNA is promising for image encryption.

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Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

Yang

et al. 2017

Complexity

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“…They are mostly based on chaotic and logistic maps, pixel swapping, pixel scrambling schemes, etc. [10][11][12][13][14][15]. Rubik's cube scrambling has been adapted by many researchers [11,15].…”

Section: Related Workmentioning

confidence: 99%

“…[10][11][12][13][14][15]. Rubik's cube scrambling has been adapted by many researchers [11,15]. Many researchers working on "encryption while compression" for reducing the complexity rather than independent encryption.…”

Section: Related Workmentioning

confidence: 99%

Low Bitrate Hybrid Secured Image Compression for Wireless Image Sensor Network

Suseela

2017

Asian J Pharm Clin Res

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Wireless image sensor networks are capable of sensing, processing and transmitting the visual data along with the scalar data and have attained wide attention in sensitive applications such as visual surveillance, habitat monitoring, and ubiquitous computing. The sensor nodes in the network are resource constrained in nature. Since the image data are huge always high computational cost and energy budget are levied on the sensor nodes. The compression standards JPEG and JPEG 2000 are not feasible as they involve complex computations. To stretch out the life span of these nodes, it is required to have low complex and low bitrate image compression techniques exclusively designed for this platform. The complicated scenario of wireless sensor network in processing and transmitting image data has been addressed by a low complex hybrid secured image compression technique using discrete wavelet transform and Bin discrete cosine transformation.

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“…A trajectory map is shown to ensure that the used 2D Sine-Tent composite function has excellent chaotic behavior. A Figure 2 compares the trajectories of 2D-STCM, 2D-SLMM [10] and 2D Logistic map [41] defined in the given functions respectively. 2D-SLMM Function:…”

Section: Trajectorymentioning

confidence: 99%

Secure Image Transmission Using Fractal and 2D-Chaotic Map

Agarwal¹

2018

J. Imaging

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A chaos-based cryptosystem has been suggested and investigated since last decade because of its sensitivity to the initial condition, unpredictability and ergodicity properties. The paper introduces a new chaotic map which helps to enhance the security of image transmission by blending the superior fractal function with a new 2D-Sine Tent composite map (2D-STCM) to generate a key stream. A trajectory map of a proposed 2D-STCM show a wider chaotic range implies better unpredictability and ergodicity feature, suitable to design a cryptosystem. A fractal based image encryption increases the key space of the security key up-to hundreds of bits, thus secure the proposed cryptosystem from brute-force attack. The requirement of confusion and diffusion are fulfilled by applying chaotic circular pixel shuffling (CCPS) to change the pixel position repeatedly and the execution of an improved XOR operation i.e., complex XOR, designed to increase the encryption quality. The proposed cryptosystem has been analyzed using statistical analysis, key sensitivity, differential analysis and key space analysis. The experimental result proves that the new scheme has a high security level to protect the image transmission over the network.

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Image encryption using the two-dimensional logistic chaotic map

Cited by 277 publications

References 28 publications

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

Low Bitrate Hybrid Secured Image Compression for Wireless Image Sensor Network

Secure Image Transmission Using Fractal and 2D-Chaotic Map

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