一种基于优化智能码本的图像加密新方法

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Rami Sihwail, Dyala Ibrahim
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引用次数: 0

摘要

随着越来越多的信息以数字形式出现,全球范围内的信息攻击有所增加。图像加密对于防止攻击者未经授权访问机密图像至关重要。本文介绍了一种新的图像加密方法,称为智能码本,它将智能码本技术与RSA (Rivest-Shamir-Adleman)算法相结合。该方法是动态的,它选择最有效的码本来加密每个图像,以增加其模糊性。智能码本方法根据图像尺寸将图像分成多个片段,每个片段生成多个随机码本。此外,图像在转换为密码图像之前还要经过几个处理阶段,包括噪声、分割和加密。选择最好的码本在下一阶段创建加密图像。最后,RSA算法向接收方发送带有密码图像的码本。对所提出的智能码本的评价取决于几个因素,包括熵、统一平均变化强度(UACI)、变化像素数(NPCR)和相关系数分析。对所提出的加密方法的评估表明,该方法具有抗密码攻击的弹性,验证了其安全性和准确性。结果显示,与以前的相关工作相比,在保护图像方面有了令人印象深刻的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A New Image Encryption Method Using an Optimized Smart Codebook

A New Image Encryption Method Using an Optimized Smart Codebook

Information attacks have increased worldwide as more information is available in digital form. Image encryption is essential to prevent attackers from unauthorized access to confidential images. In this paper, we introduce a novel image encryption method called the smart codebook, which combines an intelligent codebook technique with the RSA (Rivest–Shamir–Adleman) algorithm. The proposed method is designed to be dynamic as it selects the most effective codebooks in encrypting each image to increase its ambiguity. The smart codebook method divides an image into several segments based on image dimensions, and multiple random codebooks are generated for each segment. Moreover, images go through several processing stages before they are converted into cipher images, including noise, segmentation, and encryption. The best codebooks are selected to create the encrypted image in the next stage. Finally, the RSA algorithm sends the recipient the code books with the cipher image. The evaluation of the proposed smart codebook depends on several factors, including entropy, unified averaged changed intensity (UACI), number of changing pixel rate (NPCR), and correlation coefficient analysis. The assessment of the proposed encryption method demonstrates its resilience against cryptographic attacks, affirming its security and precision. The results show an impressive improvement in securing images compared to previous related efforts.

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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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