Uruk 4d Discrete Chaotic Map for Secure Communication Applications

Al-Jawher, Waleed Ameen Mahmoud; Abdul-Kareem, Ali Akram

doi:10.36371/port.2022.3.2

Cited by 6 publications

(13 citation statements)

References 19 publications

(33 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast, chaotic multidimensional maps generate unpredictably vast chaotic trajectories. Therefore, Abdul-Kareem et al 26 recently proposed a 3D chaotic system serving security issues called Waleed-Ali Map (WAM). 25 The system can be computed mathematically using the following equations: E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 0 5 ; 1 1 4 ; 3 4 8…”

Section: Wam Chaotic Mapmentioning

confidence: 99%

“…Notably, the optimal entropy for a 256-bit encrypted image is near eight. 21,26 The entropy of information can be computed as E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 2 7 ; 1 1 4 ; 4 1 1…”

Section: Analysis Of the Image Information Entropymentioning

confidence: 99%

“…Therefore, the relationships between pixels should have a shallow profile and be distributed uniformly across the entire encrypted image to conceal any information or patterns that could be used to launch attacks. 26,[50][51][52] Figures 5 and 6 show the horizontal, vertical, and diagonal distribution of the image's statistical correlation before and after encryption. It can be observed that the distributions of pixels in the original images are somewhat concentrated, whereas, in the encrypted image, they appear scattered and dispersed, indicating that the statistical relationships between the pixels have been significantly disrupted.…”

Section: Correlation Coefficient Analysismentioning

confidence: 99%

“…In contrast, the plaintext image has different vertices expressing the image's content. 2,3,19,26,53 Figure 7 shows the histogram of the proposed algorithm's outputs. A high degree of regularity can be observed in the histogram columns of all test images.…”

Section: Distribution Analysis Of Pixelsmentioning

confidence: 99%

“…In contrast, chaotic multidimensional maps generate unpredictably vast chaotic trajectories. Therefore, Abdul-Kareem et al 26 . recently proposed a 3D chaotic system serving security issues called Waleed-Ali Map (WAM) 25 .…”

Section: Chaos Theorymentioning

confidence: 99%

See 4 more Smart Citations

Hybrid image encryption algorithm based on compressive sensing, gray wolf optimization, and chaos

Abdul-Kareem,

Mahmoud Al-Jawher

2023

J. Electron. Imag.

View full text Add to dashboard Cite

Growing reliance on digital communications has necessitated development of dependable and secure technologies to ensure that the transmission and reception of images over the Internet do not pose a risk to the data of individuals and governments. We propose developing a hybrid image encryption and compression algorithm by combining compressive sensing, the gray wolf algorithm, and multidimensional chaotic systems. It aims to generate a highly secure encrypted image while conserving transmission and storage resources. This algorithm overlaps several stages designed to protect vital images while minimizing size. First, the image is converted to the frequency domain using the discrete wavelet transform. Then, the discrete wavelet transform coefficients are scrambled globally using the Waleed-Ali Map and the gray wolf algorithm. Second, the confused image is measured by a parameters-controlled matrix to reduce transmission costs. The final encrypted image is obtained after performing the diffusion operation with a bitstream derived from the Nahrain chaotic map. The average peak signal-to-noise ratio score was 53.1995, and the average mean squared error score was 0.6130, demonstrating that the plaintext and decrypted images are identical. The average correlation coefficient score was −0.010095; the average entropy analysis was 7.9987; and the average number of pixel change rate and unified average changing intensity analyses were 99.60 and 33.52, respectively. The experimental results demonstrate the algorithm's efficiency and robustness, as well as the high quality of the reconstructed image.

show abstract

Section: Wam Chaotic Mapmentioning

confidence: 99%

Section: Analysis Of the Image Information Entropymentioning

confidence: 99%