2D Sin-Cos-Henon Map for Color Image Encryption with High Security

Cheng, Zhiqiang; Wang, Wencheng; Dai, Yuezhang; Li, Lun

doi:10.1155/2022/9508749

Cited by 4 publications

(5 citation statements)

References 40 publications

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“…The current study by authors Zhinqiang, cheng et al (2022) in reference [4] More information is shared online, making data security more important. Academics study the image because of its importance in communication.…”

Section: Literature Surveymentioning

confidence: 98%

“…Technologies like image hiding, zero watermarking, and image encryption are just a few examples of the many options that have been proposed to secure images. Algorithm for encrypting images q-coupled lattice of 2D non-adjacent map was proposed by Sun et al [1].Using a perception-like network, Zhang et al suggested a chaos encoding algorithm, and Logistic and Tent are examples of low-dimensional dynamic systems proposed and used in image encryption by Sharma [4].In order to secure images, some researchers have turned to DNA technology; the resulting encryption algorithms have proven to be quite effective. The computer operation problem leads to the short- [16].…”

Section: Introductionmentioning

confidence: 99%

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Color Image Encryption using Chaotic Algorithm and 2D Sin-Cos Henon Map for High Security

Indira¹,

Alekhya²,

Kishore³

et al. 2023

IJRITCC

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In every form of electronic communication, data security must be an absolute top priority. As the prevalence of Internet and other forms of electronic communication continues to expand, so too does the need for visual content. There are numerous options for protecting transmitted data. It's important that the transmission of hidden messages in images remain unnoticed to avoid raising any red flags. In this paper, we propose a new deep learning-based image encryption algorithm for safe image retrieval. The proposed algorithm employs a deep artificial neural network model to extract features via sample training, allowing for more secure image network transmission. The algorithm is incorporated into a deep learning-based image retrieval process with Convolution Neural Networks(CNN), improving the efficiency of retrieval while also guaranteeing the security of ciphertext images. Experiments conducted on five different datasets demonstrate that the proposed algorithm vastly improves retrieval efficiency and strengthens data security. Also hypothesised a 2D Sin-Cos-Henon (2D-SCH)-based encryption algorithm for highly secure colour images. We demonstrate that this algorithm is secure against a variety of attacks and that it can encrypt all three colour channels of an image simultaneously.

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Section: Literature Surveymentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Color Image Encryption using Chaotic Algorithm and 2D Sin-Cos Henon Map for High Security

Indira¹,

Alekhya²,

Kishore³

et al. 2023

IJRITCC

View full text Add to dashboard Cite

show abstract

“…Cheng et al [31] proposed a color image encryption algorithm using a two-dimensional chaotic system (2D Sin-Cos-Henon (2D-SCH)). It is a hyperchaotic system that uses random scrambling and localization diffusion for color image encryption.…”

Section: Encryption Algorithmsmentioning

confidence: 99%

“…A comparison entropy analysis for the works discussed in[20][21][22][23][24][25][26][27][28][29][30][31][32][33][34].…”

mentioning

confidence: 99%

A Comprehensive Review of Color Image Encryption Technology

Dawood¹,

Thabit²,

Fahad³

2023

BJES

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Today, with the continuous increase in the use of computer networks and the rapid evolution of information technologies. The secure transmission of data over the Internet has become an urgent necessity to preserve the privacy of users and protect sensitive information from theft and distortion. images are most of this transferred data, so it was necessary to protect it by encrypting them using algorithms that ensure the protection of information access to the receiver. Color images contain sensitive information and details that must be secured and protected. This paper produces a comprehensive review of image encryption methods and classifies them based on various concepts such as chaotic maps, DNA, etc. with comparisons between existing approaches to accessing different security parameters. Additionally, the types of encryption keys were reviewed along with some common types of attacks and the most important methods for measuring encryption efficiency.

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“…With the rapid development of computer technology, digital images contain a significant amount of personal and private information. As information exchange becomes increasingly frequent [1][2][3][4], it has become essential to protect digital images from theft. Image encryption technology is one of the most important techniques used to ensure the safe transmission of images [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Designing a 1D extended logistic map for a secure image encryption

Ren

Wang

2023

Phys. Scr.

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The performance of the keystream is an important index for determining the security of a cryptosystem. However, the parameter range of the classical one-dimensional chaotic map is limited, and the distribution of the generated chaotic sequence is aggregated. Using the keystream generated by such chaotic systems can lead to a small secret key space and low security of the cryptosystem. To address this, this paper proposes a 1D Extended Logistic Map (1D-ELM), which combines the Sin and Logistic maps. The 1D-ELM has the same control parameters as the Logistic map, but the parameter range in which 1D-ELM exhibits chaotic behavior is larger than that of the Logistic map. The performance of 1D-ELM is evaluated using the Lyapunov exponent, bifurcation diagram, and 0-1 test. Additionally, 1D-ELM is applied in image encryption. In the secret key generation stage, the designed cryptosystem employs a combination of public and private keys, ensuring the algorithm's security. An attacker needs to find two secret keys to crack the algorithm. Furthermore, in the diffusion stage, most ciphertext values are related to the three adjacent ciphertext values, reducing the correlation of adjacent ciphertext pixels. The experiment verifies that 1D-ELM has good application in image encryption and plays an important role. The designed cryptographic system has high security.

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2D Sin-Cos-Henon Map for Color Image Encryption with High Security

Cited by 4 publications

References 40 publications

Color Image Encryption using Chaotic Algorithm and 2D Sin-Cos Henon Map for High Security

Color Image Encryption using Chaotic Algorithm and 2D Sin-Cos Henon Map for High Security

A Comprehensive Review of Color Image Encryption Technology

Designing a 1D extended logistic map for a secure image encryption

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