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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 7, July 2015 | Rating: 6.4 / 10
Authorized Auditing of Big Data Stored on Cloud with Auditability Aware Data Scheduling
Surapriya Swain | Prof. Saurabh Gupta
Abstract: Cloud computing otherwise known as on demand computing. It provides the services over the internet. It has the provision of facilitating users to store and access their data in and from cloud server by sitting anywhere and on any device. Storing data in cloud server also opens up so many security threats as data is accessed over internet and client has no direct control over data once uploaded into cloud server. The risks are like authentication of client and integrity of data. To ensure the integrity of data there is need of frequent auditing of clients data in cloud server. Client hands over the task of auditing to the TPA which is also an external entity and which should be a trusted and authorized one. In the cloud environment requests come from user for uploading and editing of data, from TPA for integrity checking of data. So the server needs to serve the request in such a way that will utilize the time and resource efficiently. For this we have to make TPA audit aware data scheduling. Auditability aware data scheduling handle resource utilization properly. This paper provides an analysis on authorized auditing and auditability aware data scheduling in cloud server. Also focus on fine grained update request from user.
Keywords: Cloud computing, Big Data, Authorized Public Auditing, Fine-grained Updates, TPA
Edition: Volume 4 Issue 7, July 2015,
Pages: 386 - 390