An Image Encryption Algorithm Using Logistic Map with Plaintext-Related Parameter Values

Oravec, Jakub; Ovseník, Ľuboš; Papaj, Jan

doi:10.3390/e23111373

Cited by 14 publications

(11 citation statements)

References 43 publications

(102 reference statements)

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“…The suggested system provides NPCR 99.6994% and UACI 31.5592%, while the entropy value is 7.9996. Oravec et al [16] proposed a plaintext-related picture encryption technique that changes the parameter values of the logistic map in response to pixel intensities in the plain image. Row by row, the parameter values are changed, allowing the same encryption and decryption technique to be used.…”

Section: Related Workmentioning

confidence: 99%

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Image encryption algorithm based on the density and 6D logistic map

Rashid

Hussein

2023

IJECE

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One of the most difficult issues in the history of communication technology is the transmission of secure images. On the internet, photos are used and shared by millions of individuals for both private and business reasons. Utilizing encryption methods to change the original image into an unintelligible or scrambled version is one way to achieve safe image transfer over the network. Cryptographic approaches based on chaotic logistic theory provide several new and promising options for developing secure Image encryption methods. The main aim of this paper is to build a secure system for encrypting gray and color images. The proposed system consists of two stages, the first stage is the encryption process, in which the keys are generated depending on the chaotic logistic with the image density to encrypt the gray and color images, and the second stage is the decryption, which is the opposite of the encryption process to obtain the original image. The proposed method has been tested on two standard gray and color images publicly available. The test results indicate to the highest value of peak signal-to-noise ratio (PSNR), unified average changing intensity (UACI), number of pixel change rate (NPCR) are 7.7268, 50.2011 and 100, respectively. While the encryption and decryption speed up to 0.6319 and 0.5305 second respectively.

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Section: Related Workmentioning

confidence: 99%

“…− NPCR and UACI NPCR value tells the rate of change of a number of pixels in an encrypted image when a pixel of the original image is changed [11], [16]. The highest value is the better in the encryption [25], [27], NPCR of an image can be defined as (11).…”

Section: − Histogrammentioning

confidence: 99%

Image encryption algorithm based on the density and 6D logistic map

Rashid

Hussein

2023

IJECE

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“…The article in [21] presents a plaintext-related images cryptosystem that changes the quantities of the logistic map parameter depending on the pixel intensities of the plain image.…”

Section: Literature Reviewmentioning

confidence: 99%

High Security Image Cryptographic Algorithm Using Chaotic Encryption Algorithm with Hash-LSB Steganography

2023

IJSER

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In the latest, digital images are frequently used for storage, communication, medical imaging, etc. Such images possibly involve private data, which accordingly handed an important role to information security. Image encryption and steganography are two widely used techniques for providing information security. Cryptography is the technique of protecting information by encryption and decryption. In steganography, the message is inserted in an image with changes entitled a cover image. The principal purpose of the study is to improve the current secure data communication techniques, by combining cryptography with steganography. Steganography and cryptography are two examples of the multiple methods used to guarantee secrecy and privacy throughout data communication. The suggested approach achieves encryption and decryption utilizing chaotic encryption technique and employing hashleast significant bit (HLSB) as steganography which is a significant method of embedding data bits in LSB bits of RGB pixels of the cover image. The suggested image encryption method is validated by experimental results to be highly secure and resistant to a variety of attacks. Additionally, compared to several conventional picture encryption techniques, it offers higher performance. Peak signal-to-noise ratio (PSNR) and mean square error (MSE)calculations are used to provide security evaluations. PSNR is infinite and MSE is 0 for a secret image. PSNR and MSE for the cover image are 65 and 0.02 dB respectively. The results of this research reveal a high level of similarities between stego and cover images, and between recovered and secret images, as seen in the histogram analysis of secret images. These techniques are accomplished effectively by using the MATLAB program.

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“…[ 29 , 30 , 31 ] shows some typical methods for cracking cryptosystems based on scrambling-diffusion structures. To solve the problems of low-density sensitivity and plaintext sensitivity, researchers have proposed some image encryption schemes related to plaintext in recent years [ 32 , 33 ]. They all relate the key system to the characteristics of the plaintext image through different methods.…”

Section: Encryption and Decryption Algorithmmentioning

confidence: 99%

Multi-Image Encryption Algorithm Based on Cascaded Modulation Chaotic System and Block-Scrambling-Diffusion

Wang

Xia

et al. 2022

Entropy

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To address the problem of a poor security image encryption algorithm based on a single chaotic map, this paper proposes a cascade modulation chaotic system (CMCS) that can generate multiple chaotic maps. On this basis, a multi-image encryption algorithm with block-scrambling-diffusion is proposed using CMCS. The algorithm makes full use of the features of CMCS to achieve the effect of one encryption at a time for images. Firstly, the key-value associated with the plaintexts is generated using a secure hash algorithm-512 (SHA-512) operation and random sequence, and the three images are fully confused by the double scrambling mechanism. Secondly, the scrambled image is converted into a bit-level matrix, and the pixel values are evenly distributed using the bit-group diffusion. Finally, the non-sequence diffusion of hexadecimal addition and subtraction rules is used to improve the security of the encryption algorithm. Experimental results demonstrate that the encryption algorithm proposed in this paper has a good encryption effect and can resist various attacks.

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An Image Encryption Algorithm Using Logistic Map with Plaintext-Related Parameter Values

Cited by 14 publications

References 43 publications

Image encryption algorithm based on the density and 6D logistic map

Image encryption algorithm based on the density and 6D logistic map

High Security Image Cryptographic Algorithm Using Chaotic Encryption Algorithm with Hash-LSB Steganography

Multi-Image Encryption Algorithm Based on Cascaded Modulation Chaotic System and Block-Scrambling-Diffusion

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