Utilizing Extended Visual Cryptography for Ensuring Safety and Accuracy of PDF File in Cloud Storage

Suman Mandal, Md. Ashiq Mahmood
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Abstract

Nowadays cloud computing (CC) is in endless prosperity position and visual cryptography (VC) is very important part of cloud computing. Many institution and people at every turn use cloud storage but they do not know about its security policies, which is risky for their business. It is a very challenging part for the user and cloud service provider (CSP) to protect data in cloud storage. If secret data is stored in cloud in unencrypted form then the unauthorized people and the CSP can easily access the data. But the algorithm which is standard need computational primitives, storage space and cost. So it is very staple significance to protect cloud data with minimum computation and storage space. Utilizing extended visual cryptography for ensuring safety and accuracy of PDF file in cloud storage (UEVCESAPDFCS) process offer useful storage to maintain data confidentiality and integrity verification. In the previous work the authors used (VC), in the proposed method we also use (VC). But the different between this two works is, in the previous work there is a chance to rearrange the data value, but in our algorithm the condition is like when the uploaded and downloaded data will be same then the algorithm will be finished, so there is no chance to change the data value. In this research our main target was to defense the unauthorized people from recognize the clouds data value
利用扩展的可视化加密技术确保云存储中PDF文件的安全性和准确性
当前,云计算(CC)处于无限繁荣的地位,而视觉加密(VC)是云计算的重要组成部分。许多机构和个人随时都在使用云存储,但他们不了解云存储的安全策略,这对他们的业务来说是有风险的。对于用户和云服务提供商(CSP)来说,保护云存储中的数据是一个非常具有挑战性的部分。如果秘密数据以未加密的形式存储在云中,那么未经授权的人和CSP可以很容易地访问数据。但标准算法需要计算基元、存储空间和成本。因此,以最小的计算量和存储空间保护云数据具有重要的意义。利用扩展的可视化加密技术确保PDF文件在云存储(UEVCESAPDFCS)过程中的安全性和准确性,提供有用的存储,以保持数据的机密性和完整性验证。在以前的工作中,作者使用了(VC),在本文中我们也使用了(VC)。但这两个作品的不同之处在于,在之前的作品中有机会重新排列数据值,而在我们的算法中,情况就像上传和下载的数据一样,那么算法就结束了,所以没有机会改变数据值。在本研究中,我们的主要目标是防止未经授权的人识别云数据的价值
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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