2022
DOI: 10.3390/e24070900
|View full text |Cite
|
Sign up to set email alerts
|

A New Hyperchaotic 4D-FDHNN System with Four Positive Lyapunov Exponents and Its Application in Image Encryption

Abstract: In this paper, a hyperchaotic four-dimensional fractional discrete Hopfield neural network system (4D-FDHNN) with four positive Lyapunov exponents is proposed. Firstly, the chaotic dynamics’ characteristics of the system are verified by analyzing and comparing the iterative trajectory diagram, phase diagram, attractor diagram, 0-1 test, sample entropy, and Lyapunov exponent. Furthermore, a novel image encryption scheme is designed to use the chaotic system as a pseudo-random number generator. In the scenario, … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(4 citation statements)
references
References 48 publications
(44 reference statements)
0
3
0
Order By: Relevance
“…The decrypted images are shown in Figure 15(a1-b3) with a slight change of the secret key. Despite the fact that the secret key has been changed a little (10)(11)(12)(13)(14)(15)(16), the decrypted images are completely different from the original image. Figure 15(c1-c3) shows the decrypted image with the correct secret key.…”
Section: Application In a Color Cryptosystemmentioning
confidence: 99%
See 1 more Smart Citation
“…The decrypted images are shown in Figure 15(a1-b3) with a slight change of the secret key. Despite the fact that the secret key has been changed a little (10)(11)(12)(13)(14)(15)(16), the decrypted images are completely different from the original image. Figure 15(c1-c3) shows the decrypted image with the correct secret key.…”
Section: Application In a Color Cryptosystemmentioning
confidence: 99%
“…Since the HNN was proposed, various HNNs have been proposed and their chaotic behaviors studied. For example, normal chaos [ 9 , 10 , 11 ] and hyperchaos [ 12 , 13 , 14 ] have been detected in some small HNNs with several neurons. Especially in recent years, memristive neural networks have received much attention from many scholars [ 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…Zhouyi Hu and Chun-Kit Chan 2018 [22] suggested a 7-dimensional (7-D) hyperchaotic system with five positive Lyapunov exponents is created to satisfy the requirements of this encryption scheme and further increase security. Walsh-Hadamard transform (WHT) is utilized along with the discrete cosine transform (DCT) in this system to simultaneously expand key space and decrease computation complexity.Using four positive Lyapunov exponents, a hyperchaotic four dimensional fractional discrete Convolutional neural network system(4DFDHNN) is developed in [18] by Liu, Zefei 2021 [21]…”
Section: Related Workmentioning
confidence: 99%
“…Many other researchers [29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48] have proposed chaos-based S-Box construction techniques using other concepts. Despite the fact that chaotic maps are frequently utilized to construct S-Boxes, these maps also have accompanying shortcomings [49].…”
Section: Introductionmentioning
confidence: 99%