加密
密码
克罗内克产品
按位运算
计算机科学
逻辑图
像素
乙状窦函数
图像(数学)
密文
算法
数据挖掘
数学
理论计算机科学
人工智能
计算机安全
克罗内克三角洲
物理
量子力学
人工神经网络
程序设计语言
作者
Dani Elias Mfungo,Xianping Fu,Xingyuan Wang,Yongjin Xian
出处
期刊:Applied sciences
[Multidisciplinary Digital Publishing Institute]
日期:2023-03-22
卷期号:13 (6): 4034-4034
被引量:24
摘要
In today’s digital age, it is crucial to secure the flow of information to protect data and information from being hacked during transmission or storage. To address this need, we present a new image encryption technique that combines the Kronecker xor product, Hill cipher, and sigmoid logistic Map. Our proposed algorithm begins by shifting the values in each row of the state matrix to the left by a predetermined number of positions, then encrypting the resulting image using the Hill Cipher. The top value of each odd or even column is used to perform an xor operation with all values in the corresponding even or odd column, excluding the top value. The resulting image is then diffused using a sigmoid logistic map and subjected to the Kronecker xor product operation among the pixels to create a secure image. The image is then diffused again with other keys from the sigmoid logistic map for the final product. We compared our proposed method to recent work and found it to be safe and efficient in terms of performance after conducting statistical analysis, differential attack analysis, brute force attack analysis, and information entropy analysis. The results demonstrate that our proposed method is robust, lightweight, and fast in performance, meets the requirements for encryption and decryption, and is resistant to various attacks.
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