Image Encryption Based on Fuzzy Synchronization of Chaos Systems

Kuo, Chao-Lin; Huang, Lung-Chuan; Wang, Shun-Jih; Lin, Jui-Sheng; Wang, Cheng‐Chi; Yan, Jing

doi:10.1109/compsac.2013.23

Cited by 6 publications

(7 citation statements)

References 2 publications

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“…Limitation of this technique is that it still cannot generate diverse content in mutation for some complex circumstances. Work taken up in [9] is a feature selection method based on chaos GA using two different chaotic maps to keep up and improve the capability in global searching.…”

Section: Literature Surveymentioning

confidence: 99%

Nature Inspired and Transform Based Image Encryption Techniques: A Comparative Study

R¹,

Bhat²,

Patil³

2020

Adv. sci. technol. eng. syst. j.

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In this paper, performances of two variations of chaos based algorithms are compared. First algorithm is a self-adaptive color image encryption algorithm is proposed based on Radial Hilbert Transform and chaos. This technique uses chaotic random phase masks operated on the transformed pixels to increase the randomness in confusion and diffusion operations. Also, a random jumbling process is used at the final stage to increase the randomness in the cipher image. Part of the plain image is used to generate the keys for encrypting another part. Second algorithm is inspired by the bio operations resembling confusion and diffusion. Use of a scrambler improves the performance of this algorithm. Proposed work elaborates the results of the suitability analysis conducted on various kinds of input images, namely, satellite images, face images and handwritten signature images. Performance parameters considered for the analysis include horizontal correlation, vertical correlation, diagonal correlation, and net changing pixel rate, unified average change in intensity, entropy and encryption time taken by the encryption techniques.

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Section: Literature Surveymentioning

confidence: 99%

Nature Inspired and Transform Based Image Encryption Techniques: A Comparative Study

R¹,

Bhat²,

Patil³

2020

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

show abstract

“…This scheme based on a pseudo-random stream generator function, which encrypts the image. This random number is generated by the nonlinear chaotic algorithm, which is where x  (0,1),   (0,1.4),   (5,43). The cryptanalysis here used to protect against security analysis.…”

Section: Related Workmentioning

confidence: 99%

“…Chao et al [5] proposed this scheme. In this scheme, an image is encrypted using Fuzzy synchronization of Chaos Systems.…”

Section: Related Workmentioning

confidence: 99%

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Image Encryption using Linear Cryptanalysis and different Fuzzy operations

Dey¹

2018

IJSRCSE

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Nowadays, the security of digital image is one of the most essential terms. In this article, a piecewise linear chaotic map based image encryption has been proposed. For implementation protection from different types of attacks, the Linear Cryptanalysis system is applied to encrypt the image. The irreducible polynomial is implemented to design the confusion -diffusion architecture that scrambles the pixel position of the image. To alter pixel intensity, the Fuzzy operations have been applied which makes the scheme more secure. The proposed encryption scheme is applied to resist some cryptanalysis method such as plaintext or cipher text attacks. The different theoretical and statistical analysis shows that the scheme has high -level security. The two main statistical factors, the number of pixel change rate and the information entropy, gives the better result in this article.

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“…The function is called membership function and it indicates the grade of membership of elements of in ( , ). Nowadays, fuzzy theory is widely used in many cryptosystems (e.g., refer to [28][29][30]).…”

Section: Fuzzy Setmentioning

confidence: 99%

A Novel Fuzzy Encryption Technique Based on Multiple Right Translated AES Gray S-Boxes and Phase Embedding

Azam

2017

Security and Communication Networks

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This paper presents a novel image encryption technique based on multiple right translated AES Gray S-boxes (RTSs) and phase embedding technique. First of all, a secret image is diffused with a fuzzily selected RTS. The fuzzy selection of RTS is variable and depends upon pixels of the secret image. Then two random masks are used to enhance confusion in the spatial and frequency domains of the diffused secret image. These random masks are generated by applying two different RTSs on a host image. The decryption process of the proposed cryptosystem needs the host image for generation of masks. It is therefore, necessary, to secure the host image from unauthorized users. This task is achieved by diffusing the host image with another RTS and embedding the diffused secret image into the phase terms of the diffused host image. The cryptographic strength of the proposed security system is measured by implementing it on several images and applying rigorous analyses. Performance comparison of the proposed security technique with some of the state-of-the-art security systems, including S-box cryptosystem and steganocryptosystems, is also performed. Results and comparison show that the newly developed cryptosystem is more secure.

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Image Encryption Based on Fuzzy Synchronization of Chaos Systems

Cited by 6 publications

References 2 publications

Nature Inspired and Transform Based Image Encryption Techniques: A Comparative Study

Nature Inspired and Transform Based Image Encryption Techniques: A Comparative Study

Image Encryption using Linear Cryptanalysis and different Fuzzy operations

A Novel Fuzzy Encryption Technique Based on Multiple Right Translated AES Gray S-Boxes and Phase Embedding

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