A fast image encryption system based on chaotic maps with finite precision representation

Kwok, H.S.; Tang, Wallace K. S.

doi:10.1016/j.chaos.2005.11.090

Cited by 389 publications

(171 citation statements)

References 15 publications

Supporting

Mentioning

170

Contrasting

Unclassified

Order By: Relevance

“…The unified average changing intensity (UACI) measures the average intensity of differences between the plain image and ciphered image [2,9]. The NPCR and UACI of these two images are defined in equations 6-8.…”

Section: Npcr and Uaci Analysismentioning

confidence: 99%

See 1 more Smart Citation

Image Encryption Using Random Bit Sequence Based on Chaotic Maps

2013

View full text Add to dashboard Cite

The paper proposes an algorithm for image encryption using the random bit sequence generator and based on chaotic maps. Chaotic Logistic and Tent maps are used to generate required random bit sequences. Pixels of the plain image are permuted using these chaotic functions, and then the image is partitioned into eight bit map planes. In each plane, bits are permuted and substituted according to random bit and random number matrices; these matrices are the products of those functions. The pixels and bit maps permutation stage are based on a chaotic random Ergodic matrix. This chaotic encryption method produces encrypted image whose performance is evaluated using chi-square test, correlation coefficient, number of pixel of change rate (NPCR), unified average changing intensity (UACI), and key space. The histogram of encrypted image is approximated by a uniform distribution with low chi-square factor. Horizontal, vertical, and diagonal correlation coefficients of two adjacent pixels of encrypted image are calculated. These factors are improved compared to other proposed methods. The NPCR and UACI values of encrypted image are also calculated. The result shows that a swift change in the original image will cause a significant change in the ciphered image. Total key space for the proposed method is (2 ∧ 2,160), which is large enough to protect the proposed encryption image against any bruteforce attack.

show abstract

Section: Npcr and Uaci Analysismentioning

confidence: 99%

“…Many image encryption methods have been proposed in the literature based on different principles. Chaos-based encryption techniques have been preferred compared to other methods, because they provide a good combination of speed and high security [2].…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Using Random Bit Sequence Based on Chaotic Maps

2013

View full text Add to dashboard Cite

show abstract

“…This can be shown when very large amount of change is taking place in the generated Fractal image when a very small amount of change is occurred in any one of the main parameters that are used for fractal image generation. Therefore, according to these robust specifications, the fractal image nowadays is used as a secure and effective encryption key [16].…”

Section: The Use Of Fractal As a Key In Encryptionmentioning

confidence: 99%

Image Encryption Based on Fractal Geometry and Chaotic Map

Mustafa¹

2018

djps

View full text Add to dashboard Cite

Data security has become a critical issue nowadays. Sensitive data needs to be hidden from unauthorized users. In recent years, various types of images are stored and transmitted via internet. This make maintains the confidentiality, integrity and authenticity of images are a major task. Many techniques have been proposed to image encryption for the secure transmission of these images. One of the effective key of the image encryption is the using of fractal images because of the random and chaotic nature of fractals. This paper presents a proposed technique for image encryption based on fractal geometry and chaotic map. The proposed method includes encryption of color image at three stages. At first stage, the plain input image is encrypted by using the concepts of fractal geometry. In the second stage, the same picture is encrypted using the one-dimensional logistic mapping functions to generate a random image depend on the randomness nature of logistic function. Finally, in the third stage, the output encrypted images of the above two stages is merge by using the X-OR operation to generate the final encrypted image with high security attributes. Experimental results of the proposed method of encrypt images show that it has many effective features such as low relations between the pixels of encrypted image, large space key and high sensitivity to key in addition to high security. Therefore, it can be effectively protecting the security of encrypted images.

show abstract

“…For statistical analysis, we evaluated histogram, correlation, and entropy. To analyze sensitivity, the performances of NPCR and UACI were estimated using (11) and (13). Subsequently, we compared the results with those of Wang's algorithm and Yang's algorithm.…”

Section: Security Analysismentioning

confidence: 99%

“…Unfortunately, these algorithms are vulnerable to chosen-plaintext attacks [1,23]. Consequently, many other encryption schemes that are not susceptible to this type of attack have been proposed [3,5,12,13,21].…”

Section: Introductionmentioning

confidence: 99%

A fast ARX model-based image encryption scheme

Choi

Seok

Seo

et al. 2016

Multimed Tools Appl

View full text Add to dashboard Cite

This paper proposes a novel ARX model-based image encryption scheme that uses addition, rotation, and XOR as its confusion and diffusion mechanism instead of S-Box and permutation as in SP networks. The confusion property of the proposed scheme is satisfied by rotation and XOR with chaotic sequences generated from two logistic maps. Unlike classical image encryption schemes that adopt S-Box or permutation of the entire plain image, the diffusion property is satisfied using addition operations. The proposed scheme exhibits good performance on correlation coefficients (horizontal, vertical and diagonal), Shannon's entropy and NPCR (Number of Pixels Change Rate). Furthermore, simulation results indicate that its time complexity is 9.2 times more efficient than the fastest algorithm(Yang's algorithm).

show abstract

A fast image encryption system based on chaotic maps with finite precision representation

Cited by 389 publications

References 15 publications

Image Encryption Using Random Bit Sequence Based on Chaotic Maps

Image Encryption Using Random Bit Sequence Based on Chaotic Maps

Image Encryption Based on Fractal Geometry and Chaotic Map

A fast ARX model-based image encryption scheme

Contact Info

Product

Resources

About