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A Systematic Review of the Third Party Auditing in Cloud Security: Security Analysis, Computation Overhead and Performance Evaluation

机译:云安全第三方审核的系统综述:安全性分析,计算开销和性能评估

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Cloud storage offers a considerable efficiency and security to the user's data and provide high flexibility to the user. The hackers make attempt of several attacks to steal the data that increase the concern of data security in cloud. The Third Party Auditing (TPA) method is introduced to check the data integrity. There are several TPA methods developed to improve the privacy and efficiency of the data integrity checking method. Various methods involved in TPA, have been analyzed in this review in terms of function, security and overall performance. Merkel Hash Tree (MHT) method provides efficiency and security in checking the integrity of data. The computational overhead of the proof verify is also analyzed in this review. The communication cost of the most TPA methods observed as low and there is a need of improvement in security of the public auditing.
机译:云存储为用户的数据提供了可观的效率和安全性,并为用户提供了高度的灵活性。黑客试图进行几次攻击来窃取数据,从而增加了对云中数据安全性的担忧。引入了第三方审计(TPA)方法来检查数据完整性。已开发了几种TPA方法来提高数据完整性检查方法的私密性和效率。本文就功能,安全性和总体性能方面对TPA中涉及的各种方法进行了分析。默克尔哈希树(MHT)方法在检查数据完整性方面提供了效率和安全性。本文还将对证明验证的计算开销进行分析。观察到的大多数TPA方法的通信成本都很低,因此需要提高公共审计的安全性。

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