An Improved Encryption–Compression-based Algorithm for Securing Digital Images

IF 1.5 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Journal of Data and Information Quality Pub Date : 2022-07-06 DOI:10.1145/3532783
K. Singh, Ashutosh Kumar Singh
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引用次数: 1

Abstract

Nowadays, there is an increasing tendency to upload images to online platforms acting as information carriers for various applications. Unfortunately, the unauthorized utilization of such images is a serious concern that has significantly impacted security and privacy. Although digital images are widely available, the storage of these images requires a large amount of data. This study aims to address these issues by developing an improved encryption–compression-based algorithm for securing digital images that reduces unnecessary hardware storage space, transmission time and bandwidth demand. First, the image is encrypted using chaotic encryption. Then the encrypted image is compressed using wavelet-based compression in order to make efficient use of resources without any information about the encryption key. On the other side, the image is decompressed and decrypted by the receiver. The security assessment of the proposed algorithm is performed in different ways, such as differential and statistical, key sensitivity and execution time analysis. The experimental analysis proves the security of the method against various possible attacks. Furthermore, the extensive evaluations on a real dataset demonstrate that the proposed solution is secure and has a low encryption overhead compared to similar methods.
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一种改进的基于加密压缩的数字图像安全算法
如今,越来越多的人将图片上传到网络平台,作为各种应用的信息载体。不幸的是,未经授权使用这些图像是一个严重的问题,严重影响了安全性和隐私性。虽然数字图像广泛存在,但是这些图像的存储需要大量的数据。本研究旨在通过开发一种改进的基于加密压缩的算法来解决这些问题,该算法用于保护数字图像,减少不必要的硬件存储空间,传输时间和带宽需求。首先,对图像进行混沌加密。然后在没有任何加密密钥信息的情况下,利用基于小波的压缩技术对加密后的图像进行压缩,使资源得到有效利用。另一方面,接收方对图像进行解压缩和解密。采用差分和统计、密钥敏感性和执行时间分析等方法对算法进行安全评估。实验分析证明了该方法对各种可能的攻击是安全的。此外,对真实数据集的广泛评估表明,与类似方法相比,所提出的解决方案是安全的,并且具有较低的加密开销。
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来源期刊
ACM Journal of Data and Information Quality
ACM Journal of Data and Information Quality COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
4.10
自引率
4.80%
发文量
0
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