Image compression–encryption scheme based on hyper-chaotic system and 2D compressive sensing

Zhou, Nanrun; Pan, Shumin; Cheng, Shan; Zhou, Zhihong

doi:10.1016/j.optlastec.2016.02.018

Cited by 327 publications

(117 citation statements)

References 41 publications

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“…Although there exist some classical schemes such as Data Encryption Standard (DES), Advanced Encryption Standard (AES), and International Data Encryption Algorithm (IDEA) for information security [1], they usually cannot be directly applied to image encryption to yield satisfactory results due to some intrinsic properties of images such as bulky data capacity, strong correlation, and high redundancy [2][3][4]. In contrast, the chaos-based image encryption has attracted much attention for research purposes and has been demonstrated to be effective and secure in recent years [5][6][7][8][9].…”

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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“…The following several studies use a concept of compressive sensing(CS) to perform compression and encryption process simultaneously [45]- [52]. Zhou et al [45] proposed an image encryption-compression hybrid algorithm based on CS and random pixel exchanging, where compression and encryption are done simultaneously.…”

Section: Hybrid Compression-encryption Techniquementioning

confidence: 99%

“…Zhou et al [52] proposed a method of compressionencryption image scheme based on hyper-chaos system and 2D sensing. The parameters of 2D CS used are: x01 = 0.13, x02 = 0.25, μ = 3.99.…”

Section: Hybrid Compression-encryption Techniquementioning

confidence: 99%

Review of Image Compression and Encryption Techniques

Setyaningsih¹,

Wardoyo²

2017

ijacsa

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Abstract-In line with a growing need for data and information transmission in a safe and quick manner, researches on image protection and security through a combination of cryptographic and compression techniques begin to take form. The combination of these two methods may include into three categories based on their process sequences. The first category, i.e. cryptographic technique followed by compression method, focuses more on image security than the reduction of a size of data. The second combination, compression technique followed by the cryptographic method, has an advantage where the compression technique can be lossy, lossless, or combination of both. The third category, i.e. compression and cryptographic technologies in a single process either partially or in the form of compressive sensing(CS) provides a good data safety assurance with such a low computational complexity that it is eligible for enhancing the efficiency and security of data/information transmission.

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“…Optical encryption methods have attached much attention because they have various merits [13][14][15][16][17][18][19][20][21][22][23][24][25]. Double random-phase encoding in the Fresnel domain was proposed in 2004, and the encryption method is more flexible and compact because it is lensless and has higher security [26].…”

Section: Introductionmentioning

confidence: 99%

Two-Step Integral Imaging Coding Based Three-Dimensional Information Encryption Approach

Min

Xiao

et al. 2018

Security and Communication Networks

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We propose a two-step integral imaging coding based three-dimensional (3D) information encryption approach in this paper. In this approach, a synthetic aperture integral imaging system is applied to acquire a set of parallax images including spatial and angular information of 3D scene. In the encryption process, two-step coding is performed. In the first step, the acquired parallax images are encrypted firstly by double random-phase coding in the Fresnel domain. In the second step, these encrypted parallax images are encoded into a cipher image by mapping algorithm which is used to generate elemental image array of integral imaging. In the decryption process, an inverse operation is performed. The experimental results demonstrate the feasibility, security, and robustness of the proposed approach.

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Image compression–encryption scheme based on hyper-chaotic system and 2D compressive sensing

Cited by 327 publications

References 41 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

Review of Image Compression and Encryption Techniques

Two-Step Integral Imaging Coding Based Three-Dimensional Information Encryption Approach

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