A novel approach for encryption and decryption of digital imaging and communications using mathematical modelling in internet of medical things DOI

S. Thalapathiraj,

J. Arunnehru,

V.C. Bharathi

et al.

The Journal of Engineering, Journal Year: 2024, Volume and Issue: 2024(12)

Published: Dec. 1, 2024

Abstract This research introduces an innovative algorithm for the encryption and decryption of greyscale digital imaging communications in medicine images utilizing Laplace transforms. The proposed method presents a ground breaking approach to image encryption, effectively concealing visual information ensuring robust, secure, reliable process. By leveraging inherent strengths transform, guarantees complete retrieval original without any loss, provided correct key is used. To thoroughly evaluate performance algorithm, multiple tests were conducted, including extensive statistical analyses assessments quality. Key metrics carefully measured, correlation coefficients entropy values, which ranged from 7.89 7.99. Additionally, algorithm's effectiveness was demonstrated through peak signal‐to‐noise ratio spanned 7.597 9.915, indicating degree similarity between encrypted images. Furthermore, number pixels change rate ranging 99.519241 99.609375, highlighted ability produce significantly different original. unified average changing intensity falling 35.72345678 35.78233456, further underscored proficiency altering pixel intensities uniformly. Overall, this offers significant advancement field combining theoretical robustness with practical efficiency.

Language: Английский

Frequency-domain attention-guided adaptive robust watermarking model DOI
Hong Zhang,

Mohamed Meyer Kana Kone,

X. Ma

et al.

Journal of the Franklin Institute, Journal Year: 2025, Volume and Issue: unknown, P. 107511 - 107511

Published: Jan. 1, 2025

Language: Английский

Citations

6

Image encryption algorithm based on butterfly module and chaos DOI
Yong Zhang

Mathematics and Computers in Simulation, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

2

A novel multi-color image compression encryption algorithm based on the reconstruction coefficient matrix and DNA point mutation operation DOI
Meng Tang, Guo Du, Yanping Lin

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: 270, P. 126620 - 126620

Published: Jan. 24, 2025

Language: Английский

Citations

1

A High‐Security Chaotic Encryption Model for Biomedical Image Protection DOI Open Access

K V Sudheesh,

S. Benaka Santhosha,

Kiran Kiran

et al.

Security and Privacy, Journal Year: 2025, Volume and Issue: 8(2)

Published: Feb. 5, 2025

ABSTRACT With the rapid advancements in artificial intelligence (AI), ensuring privacy and security of patient medical images has emerged as a pressing concern field image protection. Traditional encryption methods, however, have often been criticized for their lack flexibility insufficient measures. To address these challenges, proposed new algorithm that uses R3 (rotate, rescale, randomize) Model to apply concepts chaotic hyperchaotic systems approaches. Based on behavior circle map system unpredictable Chua system, performs scaling, rotation, randomization target image. Basically, input is scaled rotated using minimize association between neighboring pixels. create an encrypted image, permuted next subjected diffusion operation with assistance S‐box. By sensitivity beginning conditions, technique huge key space 2 5208 created, improving overall fortifying its resistance brute‐force attacks. The speed at which processes data minimal number resources it consumes demonstrate effectiveness, making appropriate real‐time applications. evaluate computational efficiency suggested series grayscale photographs were extensive testing. In addition having large about , also showed differential cryptanalysis, NPCR UACI values above 99.60% 30.20%, respectively. images' entropy was close eight, suggesting improved security. ideal applications, speeds 0.80 s 512 × 0.6 256 images. scheme's capacity provide strong little computing overhead complexity demonstrated by experimental results.

Language: Английский

Citations

1

Semantically enhanced selective image encryption scheme with parallel computing DOI

Baisong Liu,

Wei Song,

Zheng Mingyuan

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127404 - 127404

Published: April 1, 2025

Language: Английский

Citations

1

Encryption of a large-sized image with single exposure in the scattering-imaging-based encryption scheme DOI
Yi Qin,

Y Li,

Qiong Gong

et al.

Optics & Laser Technology, Journal Year: 2025, Volume and Issue: 184, P. 112498 - 112498

Published: Jan. 21, 2025

Language: Английский

Citations

0

Facial image encryption scheme based on improved 4-D hyperchaotic system DOI
Xuncai Zhang,

Min Liu,

Ying Niu

et al.

The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(3)

Published: Feb. 1, 2025

Language: Английский

Citations

0

A quantum reversible color-to-grayscale conversion scheme via image encryption based on true random numbers and two-dimensional quantum walks DOI
Nianqiao Li, Zhenjun Tang

Signal Processing, Journal Year: 2025, Volume and Issue: 233, P. 109949 - 109949

Published: Feb. 19, 2025

Language: Английский

Citations

0

New 2D hyperchaotic Cubic-Tent map and improved 3D Hilbert diffusion for image encryption DOI

Xinli Xu,

Xin-guang Song,

Si-hang Liu

et al.

Applied Intelligence, Journal Year: 2025, Volume and Issue: 55(7)

Published: March 27, 2025

Language: Английский

Citations

0

Enhanced quantum image encryption using DNA–QTRNG and Sattolo-RQFT shuffling DOI

T. S. Gururaja,

Padmapriya Pravinkumar

The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(5)

Published: March 28, 2025

Language: Английский

Citations

0