Secure third-party auditing for user data in cloud using HLA with random masking algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 4
Abstract
Cloud services allow individuals and businesses to use software and hardware that are managed by third parties at remote locations. The cloud facilitates on-demand self service, integrated availability of resources and high flexibility. Moving data into the cloud offers great convenience to users since they don’t have to care about the complexities of direct resource management. Although cloud computing offers several advantages, it also brings in several threats and challenges; the integrity of data stored in the cloud being the major one. Thus permitting the public auditability of cloud data by an independent third party auditing (TPA) authority is essential to ensure the authenticity of the cloud data. Also, the use of TPA should not introduce new data management and privacy issues like revealing the data contents to the TPA. In this paper, the Homomorphic Linear Authenticator with random masking algorithm is used for ensuring data privacy during third party auditing process of cloud data.
Authors and Affiliations
Nisha R S, Poovaraghan R J
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