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作 者:周连兵[1] 周湘贞 崔学荣[3] ZHOU Lian-bing;ZHOU Xiang-zhen;CUI Xue-rong(School of Artificial Intelligence,Dongying Vocational Institute,Dongying,Shandong 257091,China;School of Computer Science and Engineering,Beihang University,Beijing 100191,China;College of Oceanography and Space Informatics,China University of Petroleum(East China),Qingdao,Shandong 266580,China)
机构地区:[1]东营职业学院人工智能学院,山东东营257091 [2]北京航空航天大学计算机学院,北京100191 [3]中国石油大学(华东)海洋与空间信息学院,山东青岛266580
出 处:《计算机科学》2022年第8期344-349,共6页Computer Science
基 金:国家自然科学基金(61902431);基于自动学习的深度置信网络及多源信息融合的复杂环境下室内定位关键技术研究。
摘 要:为了提高混沌加密系统的安全性和加密速度,提出了一种联合混沌映射的轻量级压缩图像加密方案。首先,为了加速加密过程,破坏像素间的相关性,将数字图像分割为图像块,并通过在频域中的处理对其进行压缩;然后,实施2D Logistic混沌映射,用于在密钥生成、置乱和替换阶段对图像像素进重排和换位。此外,为了进一步提高安全等级,在扩散阶段利用另一种混沌映射2D Henon映射来改变置乱图像的像素值。性能评估结果表明,所提方案能够满足图像加密的安全性要求,且密钥空间大。与其他优秀方案相比,该方案能够更好地抵御统计和差分等攻击,且对生成的密钥空间改变具有高度敏感性。其中,密钥空间大小为256位,实现了约99%的NPCR值和超过15%的UACI值。In order to improve the security and encryption speed of chaotic encryption system,a lightweight compression image encryption scheme based on chaotic mapping is proposed.Firstly,in order to speed up the encryption process and destroy the correlation between pixels,the digital image is divided into image blocks and compressed by processing in the frequency domain.Then,2D Logistic chaotic mapping is implemented to rearrange and transpose image pixels in the key generation,scrambling and replacement stages.In addition,to further improve the security level,in the diffusion stage,another chaotic map 2D Henon map is used to change the pixel value of the scrambled image.Performance evaluation results show that the proposed scheme can meet the security requirements of image encryption,and the key space is large.Compared with other excellent schemes,this scheme can better resist statistical and differential attacks,and it is highly sensitive to the change of the generated key space.Its key space size is 256bits,the NPCR value is about 99%,and UACI value is more than 15%.
关 键 词:图像加密 混沌加密系统 压缩图像 密钥 安全性 加密速度
分 类 号:TN918[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]
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