Block Level Data Integrity Assurance Using Matrix Dialing Method towards High Performance Data Security on Cloud Storage

P. Premkumar, D. Shanthi
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引用次数: 1

Abstract

Data outsourcing through cloud storage enables the users to share on-demand resources with cost effective IT services but several security issues arise like confidentiality, integrity and authentication. Each of them plays an important role in the successful achievement of the other. In cloud computing data integrity assurance is one of the major challenges because the user has no control over the security mechanism to protect the data. Data integrity insures that data received are the same as data stored. It is a result of data security but data integrity refers to validity and accuracy of data rather than protect the data. Data security refers to protection of data against unauthorized access, modification or corruption and it is necessary to ensure data integrity. This paper proposed a new approach using Matrix Dialing Method in block level to enhance the performance of both data integrity and data security without using Third Party Auditor (TPA). In this approach, the data are partitioned into number of blocks and each block converted into a square matrix. Determinant factor of each matrix is generated dynamically to ensure data integrity. This model also implements a combination of AES algorithm and SHA-1 algorithm for digital signature generation. Data coloring on digital signature is applied to ensure data security with better performance. The performance analysis using cloud simulator shows that the proposed scheme is highly efficient and secure as it overcomes the limitations of previous approaches of data security using encryption and decryption algorithms and data integrity assurance using TPA due to server computation time and accuracy.
基于矩阵拨号的块级数据完整性保障——面向云存储高性能数据安全
通过云存储进行的数据外包使用户能够通过具有成本效益的IT服务共享按需资源,但会出现保密性、完整性和身份验证等几个安全问题。他们中的每一个人在对方的成功成就中都扮演着重要的角色。在云计算中,数据完整性保证是主要挑战之一,因为用户无法控制保护数据的安全机制。数据完整性确保接收到的数据与存储的数据相同。它是数据安全的结果,但数据完整性指的是数据的有效性和准确性,而不是保护数据。数据安全是指保护数据免受未经授权的访问、修改或损坏,确保数据完整性是必要的。本文提出了一种在不使用第三方审计员(TPA)的情况下,在块级使用矩阵拨号法来提高数据完整性和数据安全性的新方法。在这种方法中,数据被分割成若干块,每个块被转换成一个方阵。动态生成每个矩阵的决定因子,保证数据的完整性。该模型还实现了AES算法和SHA-1算法相结合的数字签名生成。在数字签名中应用数据着色,保证了数据的安全性和更好的性能。基于云模拟器的性能分析表明,该方案克服了以往基于加解密算法的数据安全保护方法和基于TPA的数据完整性保护方法在服务器计算时间和准确性方面的局限性,具有较高的效率和安全性。
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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