ARM-Embedded Implementation of a Novel Color Image Encryption and Transmission System Based on Optical Chaos

Liu, Bo-Cheng; Xie, Yiyuan; Zhang, Yushu; Ye, Yichen; Song, Tingting; Liao, Xiaofeng; Liu, Yong

doi:10.1109/jphot.2020.3020077

Cited by 8 publications

(5 citation statements)

References 34 publications

(52 reference statements)

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“…When analyzing digital color deviation, refer to the above process of color deviation analysis to improve the accuracy of analysis. There are a large number of numbers in the sequence, so we cannot analyze every color, but we can determine the gray balance of the image and the color deviation by using memory color [14]. Gray balance is the basis of color in digital image processing.…”

Section: Color Deviation Analysismentioning

confidence: 99%

Automatic Color-Matching Model of Environmental Art Based on Visual Matching by Using IoT

Hu¹,

Hou

Song³

2022

Wireless Communications and Mobile Computing

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In order to improve the matching effect of environmental art color automatic matching, a model of environmental art color automatic matching based on visual matching is designed. Firstly, it preprocesses the color matching of environmental art, then extracts the color space and its main color, and analyzes the color deviation. At the same time, the color model is established and the color quantization is processed, and finally the color matching is realized. The experimental results show that the matching time of the proposed model is less than that of the traditional model, and the wrong contour is less. Research Objective. A model of environmental art color-automated matching based on visual matching is developed in order to improve the matching effect of environmental art color matching. Current Challenges. Because of time constraints, the matching model still has certain drawbacks, necessitating more optimization research in the subsequent study. The main steps in the research are pretreatment before color matching of environmental art, color space and main color extraction, color deviation analysis, color modeling, color quantization processing, implementation of color matching, and experimental comparison.

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Section: Color Deviation Analysismentioning

confidence: 99%

Automatic Color-Matching Model of Environmental Art Based on Visual Matching by Using IoT

Hu¹,

Hou

Song³

2022

Wireless Communications and Mobile Computing

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“…In general, the blockchain equivalent transaction protocol based on fully homomorphic encryption can verify whether the transaction amount reduced by account A is that the receiver wants A to publish the noninteractive zero knowledge proof 2 on the blockchain at one time. When publishing the transaction information, in order to increase the amount of account B, only A needs to publish the noninteractive zero knowledge proof π 1 on the blockchain at one time [ 23 ].…”

Section: Methodsmentioning

confidence: 99%

Blockchain Data Secure Transmission Method Based on Homomorphic Encryption

Peng

Cai

Liu

et al. 2022

Computational Intelligence and Neuroscience

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To ensure the security of data transmission and recording in Internet environment monitoring systems, this paper proposes a study of a secure method of blockchain data transfer based on homomorphic encryption. Blockchain data transmission is realized through homomorphic encryption. Homomorphic encryption can not only encrypt the original data, but also ensure that the data result after decrypting the data is the same as the original data. The asymmetric encrypted public key is collected by Internet of things (IoT) equipment to realize the design of blockchain data secure transmission method based on homomorphic encryption. The experimental results show that the accuracy of the first transmission is as high as 88% when using the transmission method in this paper. After several experiments, the transmission accuracy is high by using the design method in this paper. In the last test, the transmission accuracy is still 88%, and the data transmission effect is relatively stable. At the same time, compared to the management method used in this article, the transfer method used in this paper is more reliable than the original transfer method and is not prone to data distortion. It can be seen that this method has high transmission accuracy and short transmission time, which effectively avoids the data tampering caused by too long time in the transmission process.

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“…A recently reported experimental technique focuses on generating a Gaussian-invariant distribution [32]. Such sources hold potential for diverse applications spanning communication [33,34], random number generation [26,27], and cryptography [30,35].…”

Section: Introductionmentioning

confidence: 99%

A Deterministic Chaos-Model-Based Gaussian Noise Generator

Haliuk,

Vovchuk,

Spinazzola

et al. 2024

Electronics

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The abilities of quantitative description of noise are restricted due to its origin, and only statistical and spectral analysis methods can be applied, while an exact time evolution cannot be defined or predicted. This emphasizes the challenges faced in many applications, including communication systems, where noise can play, on the one hand, a vital role in impacting the signal-to-noise ratio, but possesses, on the other hand, unique properties such as an infinite entropy (infinite information capacity), an exponentially decaying correlation function, and so on. Despite the deterministic nature of chaotic systems, the predictability of chaotic signals is limited for a short time window, putting them close to random noise. In this article, we propose and experimentally verify an approach to achieve Gaussian-distributed chaotic signals by processing the outputs of chaotic systems. The mathematical criterion on which the main idea of this study is based on is the central limit theorem, which states that the sum of a large number of independent random variables with similar variances approaches a Gaussian distribution. This study involves more than 40 mostly three-dimensional continuous-time chaotic systems (Chua’s, Lorenz’s, Sprott’s, memristor-based, etc.), whose output signals are analyzed according to criteria that encompass the probability density functions of the chaotic signal itself, its envelope, and its phase and statistical and entropy-based metrics such as skewness, kurtosis, and entropy power. We found that two chaotic signals of Chua’s and Lorenz’s systems exhibited superior performance across the chosen metrics. Furthermore, our focus extended to determining the minimum number of independent chaotic signals necessary to yield a Gaussian-distributed combined signal. Thus, a statistical-characteristic-based algorithm, which includes a series of tests, was developed for a Gaussian-like signal assessment. Following the algorithm, the analytic and experimental results indicate that the sum of at least three non-Gaussian chaotic signals closely approximates a Gaussian distribution. This allows for the generation of reproducible Gaussian-distributed deterministic chaos by modeling simple chaotic systems.

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ARM-Embedded Implementation of a Novel Color Image Encryption and Transmission System Based on Optical Chaos

Cited by 8 publications

References 34 publications

Automatic Color-Matching Model of Environmental Art Based on Visual Matching by Using IoT

Automatic Color-Matching Model of Environmental Art Based on Visual Matching by Using IoT

Blockchain Data Secure Transmission Method Based on Homomorphic Encryption

A Deterministic Chaos-Model-Based Gaussian Noise Generator

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