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

机译：使用矩阵拨号方法的块级数据完整性保证，可实现云存储上的高性能数据安全性

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摘要

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.
机译：通过云存储进行数据外包可以使用户与具有成本效益的IT服务共享按需资源，但是会出现一些安全性问题，例如机密性，完整性和身份验证。他们每个人在成功实现彼此中都发挥着重要作用。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。数据完整性可确保接收到的数据与存储的数据相同。这是数据安全性的结果，但是数据完整性是指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遭未经授权的访问，修改或损坏，并且有必要确保数据完整性。本文提出了一种在块级别使用矩阵拨号方法的新方法，以提高数据完整性和数据安全性的性能，而无需使用第三方审计程序（TPA）。用这种方法，将数据划分为多个块，并将每个块转换为方矩阵。动态生成每个矩阵的决定因素以确保数据完整性。该模型还实现了AES算法和SHA-1算法的组合以生成数字签名。采用数字签名上的数据着色以确保具有更好性能的数据安全性。使用云模拟器进行的性能分析表明，由于服务器计算时间和准确性，该方案克服了以前使用加密和解密算法进行数据安全性以及使用TPA进行数据完整性保证的局限性，因此该方案高效且安全。

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