基于Spark与混沌系统的图像加密算法  

IMAGE ENCRYPTION ALGORITHM BASED ON SPARK AND CHAOSTIC SYSTEM

作　　者：钟鸣 刘建东[1] 刘博 刘玉杰 李博 Zhong Ming;Liu Jiandong;Liu Bo;Liu Yujie;Li Bo(College of Information Engineering,Beijing Institute of Petrochemical Technology,Beijing 102617,China;College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China)

机构地区：[1]北京石油化工学院信息工程学院,北京102617 [2]北京化工大学信息科学与技术学院,北京100029

出　　处：《计算机应用与软件》2023年第8期342-349,共8页Computer Applications and Software

摘　　要：针对大数据平台环境下数据信息的安全问题和执行效率问题,提出一种基于Spark大数据平台和三维动态整数帐篷映射的图像加密算法。在Spark平台中读取图像数据并进行分块处理后,利用map函数分别对每个图像块进行加密并保存。相较于一维和二维整数帐篷映射,三维动态整数帐篷映射在加密过程中可以迅速产生三条独立性较强的伪随机序列,每条序列可以分别对应处理彩色图像中的RGB通道,减弱了各通道密文间的相关性,同时采用Spark大数据平台集群并行的特点,显著提高了针对大量数据进行加密操作的效率。Aimed at the problem of security and execution efficiency of data in the environment of big data platform,an image encryption algorithm based on Spark big data platform and 3D dynamic integer tent mapping is proposed.After reading image data in Spark platform and processing in blocks,map function was used to encrypt and save each image block.Compared with one-dimensional and two-dimensional integer tent mapping,three-dimensional dynamic integer tent mapping could quickly generate three independent pseudo-random sequences in the encryption process.Each sequence could deal with RGB channels in color image respectively,which weakened the correlation between ciphertext of each channel.At the same time,it adopted the parallel characteristics of Spark big data platform cluster,which dramatically improved the efficiency of encrypting large amount of data.

关 键 词：大数据平台 三维动态整数帐篷映射 混沌系统 图像加密 加密效率 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]