Fast and Secure Medical Image Encryption Based on Non Linear 4D Logistic Map and DNA Sequences (NL4DLM_DNA)

Stalin, Shalini; Maheshwary, Priti; Shukla, Piyush Kumar; Maheshwari, Manish; Gour, Bhupesh; Khare, Ankur

doi:10.1007/s10916-019-1389-z

Cited by 54 publications

(19 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[15] Use pseudo-random sequence generator and improved Logistic mapping to encrypt images. [16] Block image encryption using four-dimensional Logistic mapping and DNA sequence algorithm. [17] proposed a combination of baker map and Logistic map into a two-dimensional chaotic system, and used this algorithm to encrypt the image.…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Algorithm Based on Logistic and Two-Dimensional Lorenz

Liang

2020

IEEE Access

View full text Add to dashboard Cite

In recent years, experts and scholars in the field of information security have attached great importance to the security of image information. They have proposed many image encryption algorithms with higher security. In order to further improve the security level of image encryption algorithm, this paper proposes a new image encryption algorithm based on two-dimensional Lorenz and Logistic. The encryption test of several classic images proves that the algorithm has high security and strong robustness. This paper also analyzes the security of encryption algorithms, such as analysis of the histogram, entropy process of information, examination of correlation, differential attack, key sensitivity test, secret key space analysis, noise attacks, contrast analysis. By comparing the image encryption algorithm proposed in this paper with some existing image encryption algorithms, the encryption algorithm has the characteristics of large secret key space, sensitivity to the key, small correlation coefficient and high contrast. In addition, the encryption algorithm is used. It can also resist noise attacks.

show abstract

Section: Introductionmentioning

confidence: 99%

Image Encryption Algorithm Based on Logistic and Two-Dimensional Lorenz

Liang

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The correlation data of the pixels adjacent to Lena's image in Table 3 after encryption in three directions are very small and this proves that the image is encrypted with a higher degree of confusion. 90 20.0020 20.0015 20.0012 Encryption Lena image in Elamrawy et al 91 0.0015 20.0037 0.0079 Encryption Lena image in Sun 92 0.0013 0.0021 20.0024 Encryption Lena image in Stalin et al 93 0.0052 0.0031 0.0019 Encrypted Lena image in this paper 0.0014 20.0016 20.0011…”

Section: Correlation Testmentioning

confidence: 81%

Complex dynamical behaviors of a novel exponential hyper–chaotic system and its application in fast synchronization and color image encryption

et al. 2021

View full text Add to dashboard Cite

This paper proposes a novel exponential hyper–chaotic system with complex dynamic behaviors. It also analyzes the chaotic attractor, bifurcation diagram, equilibrium points, Poincare map, Kaplan–Yorke dimension, and Lyapunov exponent behaviors. A fast terminal sliding mode control scheme is then designed to ensure the fast synchronization and stability of the new exponential hyper–chaotic system. Stability analysis was performed using the Lyapunov stability theory. One of the main features of the proposed controller is the finite time stability of the terminal sliding surface designed with high–order power function of error and derivative of error. The approach was implemented for image cryptosystem. Color image encryption was carried out to confirm the performance of the new hyper–chaotic system. For image encryption, the DNA encryption-based RGB algorithm was used. Performance assessment of the proposed approach confirmed the ability of the proposed hyper–chaotic system to increase the security of image encryption.

show abstract

“…Data encryption is usually done by chaotic or hyper-chaotic methods [ 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 ]. In some researches, chaotic or hyper-chaotic systems are used to encrypt peripheral data [ 38 , 39 , 40 , 41 , 42 , 43 ].…”

Section: Introductionmentioning

confidence: 99%

“…In some researches, chaotic or hyper-chaotic systems are used to encrypt peripheral data [ 38 , 39 , 40 , 41 , 42 , 43 ]. In recent years, researchers have focused on the encryption of medical data using chaotic methods [ 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 ]. Medical data contains important information about patients [ 41 , 44 , 45 , 46 ].…”

Section: Introductionmentioning

confidence: 99%

Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems

Javan

Jafari

Shoeibi

et al. 2021

Sensors

View full text Add to dashboard Cite

In this paper, a novel medical image encryption method based on multi-mode synchronization of hyper-chaotic systems is presented. The synchronization of hyper-chaotic systems is of great significance in secure communication tasks such as encryption of images. Multi-mode synchronization is a novel and highly complex issue, especially if there is uncertainty and disturbance. In this work, an adaptive-robust controller is designed for multimode synchronized chaotic systems with variable and unknown parameters, despite the bounded disturbance and uncertainty with a known function in two modes. In the first case, it is a main system with some response systems, and in the second case, it is a circular synchronization. Using theorems it is proved that the two synchronization methods are equivalent. Our results show that, we are able to obtain the convergence of synchronization error and parameter estimation error to zero using Lyapunov’s method. The new laws to update time-varying parameters, estimating disturbance and uncertainty bounds are proposed such that stability of system is guaranteed. To assess the performance of the proposed synchronization method, various statistical analyzes were carried out on the encrypted medical images and standard benchmark images. The results show effective performance of the proposed synchronization technique in the medical images encryption for telemedicine application.

show abstract

Fast and Secure Medical Image Encryption Based on Non Linear 4D Logistic Map and DNA Sequences (NL4DLM_DNA)

Cited by 54 publications

References 27 publications

Image Encryption Algorithm Based on Logistic and Two-Dimensional Lorenz

Image Encryption Algorithm Based on Logistic and Two-Dimensional Lorenz

Complex dynamical behaviors of a novel exponential hyper–chaotic system and its application in fast synchronization and color image encryption

Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems

Contact Info

Product

Resources

About