Security Enhancement and Efficient Storage Enhancement in Public Cloud using Novel Cube Based Obfuscation and Steganography Comparing with SCA with Minimal Cost

K. Vandhana, P. Sriramya
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Abstract

The objective of this research is to enhance security and storage for data stored in the public cloud using novel cube based obfuscation and steganography compared with side channel attack with minimal cost. The two groups that are considered are Secure Channel Attack and Novel Cube Based Obfuscation methods. This proposed approach makes the data in a non-understandable format so no attacker can identify the image and cannot extract steganographic images and also occupies less storage space. The sample size considered for implementing this work was N=20 for each of the groups considered. The sample size calculation was done using clinical. The pretest analysis was kept 80%. Based on the statistical analysis the significance value for calculating image size was found to be 0.95. In this research it is observed that cube based obfuscation seems to be secure and occupies less storage space than secure channel attack with 2861 bytes image size. Based on the experimental and statistical results achieved it is concluded that Novel Cube based obfuscation (CBO) seems to be secure and takes less storage space than secure channel attack (SCA).
与SCA相比,基于新立方体的混淆和隐写技术在公共云中的安全性增强和高效存储增强
本研究的目的是与侧信道攻击相比,以最小的成本使用新颖的基于立方体的混淆和隐写技术来增强存储在公共云中的数据的安全性和存储。考虑的两组是安全通道攻击和基于多维数据集的新型混淆方法。该方法使数据以不可理解的格式呈现,使得攻击者无法识别图像,无法提取隐写图像,占用的存储空间也更小。考虑实施这项工作的样本量为考虑的每个组N=20。样本量计算采用临床统计学方法。前测分析保持80%。经统计分析,计算图像尺寸的显著性值为0.95。在本研究中,我们观察到基于立方体的混淆似乎是安全的,并且占用的存储空间比2861字节图像大小的安全通道攻击更少。实验和统计结果表明,基于新颖立方体的混淆(CBO)比安全通道攻击(SCA)更安全,占用更少的存储空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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