Analysis on Cloud Computing

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Cloud storage enables users to remotelystore their data and enjoy the on-demand high quality cloud applications without the
burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users’ physical
possession of their outsourced data, which inevitably poses new security risks towards the correctness of the data in cloud. In order to
address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper a flexible
distributed storage integrity auditing mechanism, utilizing the homomorphic token and distributed erasure-coded data. The proposed
design allows users to audit the cloud storage with very lightweight communication and computation cost. The auditing result not only
ensures strong cloud storage correctness guarantee, but also simultaneously achieves fast data error localization, i.e., the identification
of misbehaving server. Considering the cloud data are dynamic in nature, the proposed design further supports secure and efficient
dynamic operations on outsourced data, including block modification, deletion, and append.


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