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Survey on Public Key Cryptography Scheme for Securing Data in Cloud Computing

机译:保护云计算数据的公钥加密方案调查

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Numerous advancements in the Information Technology (IT) require the proper security policy for the data storage and transfer among the cloud. With the increase in size of the data, the time required to handle the huge-size data is more. An assurance of security in cloud computing suffers various issues. The evolution of cryptographic approaches addresses these limitations and provides the solution to the data preserving. There are two issues in security assurance such as geographical distribution and the multi-tenancy of the cloud server. This paper surveys about the various cryptographic techniques with their key sizes, time required for key/signature generation and verification constraints. The survey discusses the architecture for secure data transmissions among the devices, challenges raised during the transmission and attacks. This paper presents the brief review of major cryptographic techniques such as Rivest, Shamir Adleman (RSA), Dffie Hellman and the Elliptic Curve Cryptography (ECC) associated key sizes. This paper investigates the general impact of digital signature generation techniques on cloud security with the advantages and disadvantages. The results and discussion section existing in this paper investigate the time consumption for key/signature generation and verification with the key size variations effectively. The initialization of random prime numbers and the key computation based on the points on the elliptic curve assures the high-security compared to the existing schemes with the minimum time consumption and sizes in cloud-based applications.
机译:信息技术(IT)中的众多进步需要适当的安全策略为云之间的数据存储和传输。随着数据大小的增加,处理庞大数据所需的时间更多。保证云计算中的安全性受到各种问题。加密方法的演变解决了这些限制,并为数据保留提供了解决方案。安全保障中有两个问题,如地理分布和云服务器的多租户。本文对各种密码技术进行了调查,其关键尺寸,键/签名生成和验证约束所需的时间。该调查讨论了设备之间的安全数据传输的架构,在传输和攻击期间提出的挑战。本文介绍了重大加密技术,如RIVEST,Shamir Adleman(RSA),DFFIE HELLMAN和椭圆曲线加密(ECC)相关键大小。本文调查了数字签名生成技术对云安全的一般影响,具有优缺点。本文现有的结果和讨论部分调查关键/签名生成和验证的时间消耗,并有效地进行钥匙尺寸变化。随机素数的初始化和基于椭圆曲线上的点的关键计算确保了与现有方案相比的高安全性,其中包含基于云的应用程序中的最小时间消耗和大小。

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