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Ordered Frequent Itemsets Matrix Based On Fp-Tree Structure And Apriori Algorithm

Abdulkader M. Al-Badani Abdualmajed A. Al-Khulaidi
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Verifying Data Integrity in Cloud

by S. P. Jaikar, M. V. Nimbalkar
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Number 1
Year of Publication: 2012
Authors: S. P. Jaikar, M. V. Nimbalkar
http:/ijais12-450437

S. P. Jaikar, M. V. Nimbalkar . Verifying Data Integrity in Cloud. International Journal of Applied Information Systems. 3, 1 ( July 2012), 38-46. DOI=http:/ijais12-450437

@article{ http:/ijais12-450437,
author = { S. P. Jaikar, M. V. Nimbalkar },
title = { Verifying Data Integrity in Cloud },
journal = { International Journal of Applied Information Systems },
issue_date = { July 2012 },
volume = { 3 },
number = { 1 },
month = { July },
year = { 2012 },
issn = { 2249-0868 },
pages = { 38-46 },
numpages = {9},
url = { https://www.ijais.org/archives/volume3/number1/199-0437/ },
doi = { http:/ijais12-450437 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:45:18.849365+05:30
%A S. P. Jaikar
%A M. V. Nimbalkar
%T Verifying Data Integrity in Cloud
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 3
%N 1
%P 38-46
%D 2012
%I Foundation of Computer Science (FCS), NY, 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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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Distributed Data Storage Virtualization Pervasive Computing Data Security

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