An Efficient and Secure Dynamic Auditing Protocol for Data Storage in Cloud Computing

By Kan Yang, Xiaohua Jia. IEEE Transactions on Parallel and Distributed Systems, 2013

683 citations recorded by the source corpus.

How researchers see this paper

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Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, methodology): “In edge computing, the research of data integrity should be focused on the following four functional aspects: batch auditing [49], dynamic auditing [50], privacy-preserving [51], and low complexity [52].”
Identity-Based Remote Data Integrity Checking With Perfect Data Privacy Preserving for Cloud Storage (2017, background): “Due to its necessity and practicability, remote data integrity checking has attracted extensive research interest [7]–[10], [12]–[15], [17]–[20], [24], [25] in recent years.”
Fog Computing Micro Datacenter Based Dynamic Resource Estimation and Pricing Model for IoT (2015, neutral): “The corresponding author is Prof. Eui-Nam Huh.”