K-Means-Based Method for Identifying Characteristics of Wireless Terminal Equipment in Power System

Yin, Yueqin; Zhang, Zhantu; Zhang, Huajian; Sun, Shengze; Li, Jianpo

doi:10.1007/978-981-33-6420-2_52

Cited by 1 publication

(2 citation statements)

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“…The Proposed Cryptosystem: The encryption process of the proposed algorithm is divided into three parts. Firstly, the input image is multiplied with random phase mask, followed by DCT transform along with Arnold transform is applied and then key generation using Logistic map of chaotic maps [16].…”

Section: Fig 1 Logistic Mapmentioning

confidence: 99%

“…The peak signal to noise ratio (PSNR) serves as a barometer for similarity in visual perception. The more similar the image is to the decrypted image, the higher its PSNR value 16 .The formula of PSNR is shown in equation ( 15) (15) MSE: Measuring the average squared difference between anticipated and actual values in a dataset is done using the metric known as MSE or mean squared error 17. The formula of MSE is shown in equation 16. (16) SSIM: An indicator of the similarity of visual perception is the image similarity index (SSIM).…”

Section: Psnrmentioning

confidence: 99%

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An Optimized Image Encryption Scheme, Leveraging the Arnold Transform and Chaotic Map

2023

ijcih

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The traditional approach to image encryption faces significant challenges and issues, including inadequate safety, image degradation, low latency, low-key sensitivity, diffusion, and strong correlation. To address these shortcomings, a new image encryption algorithm is proposed in this work. The algorithm uses a combination of Discrete Cosine Transform (DCT) and Arnold transform along with chaotic scrambling to enhance the image security. The two-level encryption approach performs transformations in the position of each pixel without changing their values or statistical features. The proposed algorithm is evaluated and shown to offer several advantages, including robust performance, statistical efficacy, high key sensitivity, picture security, and real-time performance. Overall, the proposed algorithm represents a significant improvement over the traditional approach to image encryption.

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Section: Fig 1 Logistic Mapmentioning

confidence: 99%

Section: Psnrmentioning

confidence: 99%