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Verifying Data Integrity in Cloud

S. P. Jaikar, M. V. Nimbalkar Published in Security

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
http:/ijais12-450437
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  1. S P Jaikar and M V Nimbalkar. Article: Verifying Data Integrity in Cloud. International Journal of Applied Information Systems 3(1):38-46, July 2012. BibTeX

    @article{key:article,
    	author = "S. P. Jaikar and M. V. Nimbalkar",
    	title = "Article: Verifying Data Integrity in Cloud",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 3,
    	number = 1,
    	pages = "38-46",
    	month = "July",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Clouds are revolution in computing field which provides on demand access to virtualized resources which are hosted outside of your own data center. In Cloud computing, data and applications are moved to large data centers where management of data is not fully trustworthy. Secure outsourcing of data and applications to a third party service provider is very important. Moving of data in cloud is convenient for users as they don't have to deal with complicated data management and other hardware related issues on their local data centers. But this convenience brings down the user to the mercy at their service providers for correctness and trustworthiness of their data. Since the applications and data are under control of the third party service provider, the users have to rely on the security mechanisms implemented by service provider for availability and integrity of their data. We propose a distributed scheme to ensure users that their data are indeed stored appropriately and kept intact all the time in the cloud. We are using erasure correcting code in the file distribution preparation to provide redundancies. We are relaying on challenge response protocol along with pre-computed tokens to verify the storage correctness of user's data & to effectively locate the malfunctioning server when data corruption has been detected. Our scheme maintains the same level of storage correctness assurance even if users modify, delete or append their data files in the cloud.

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Keywords

Cloud Computing, Distributed Data Storage, Virtualization, Pervasive Computing, Data Security