Volume & Issue no: Volume 6, Issue 6, November - December 2017
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Title: |
PAS-Cloud : Toward a Framework With
privacy preserving public Auditing Strategies
for Heterogeneous Data in cloud storage |
Author Name: |
Akheel Mohammed, Dr. D. Vasumathi |
Abstract: |
Abstract
As enterprises cannot maintain local copy of outsourced data
due to local storage issues, it is essential to have secured and
privacy preserving means of outsourcing. Otherwise the data
owners do not trust cloud service providers. Efficient auditing
techniques are important to ensure privacy, security and data
integrity. Many public auditing schemes came into existence.
Recently, proposed a novel public auditing scheme based on
Dynamic Hash Table. Third Party Auditor (TPA) in their
scheme cannot view the data while performing auditing.
However, most of the existing public auditing schemes do not
have mechanisms differently for different type of data
outsourced to public cloud. Structure, unstructured and semistructured
data can exist in the outsourced cloud storage. One
size does not fit all as no single audit method can satisfy all types
of cloud data. Therefore it is the new research trend to design a
comprehensive framework for public auditing strategies for
structured and unstructured outsourced cloud data. In this
paper, we propose such framework which supports multiple
public auditing strategies to cater to heterogeneous types of data.
It is named as PASCloud. It framework consists Dynamic Hash
Table (DHT) based public auditing for unstructured data and a
verifiable auditing scheme (VAS) for outsourced structured data
or relational database. The former can detect data integrity
issues caused by CSP either intentionally or unintentionally
while the latter can withstand intentional misbehaviour of CSP
when a query is made to outsourced relational database.
Amazon AWS cloud platform is used for experiments. The
experimental results revealed the utility of the framework in
rendering auditing services for user’s unstructured outsourced
data while the implementation for structured data is deferred for
our future work.
Index Terms – Cloud computing, structured data,
unstructured data, Dynamic Hash Table (DHT), Verifiable
Auditing Scheme (VAS), privacy preserving public
auditing |
Cite this article: |
Akheel Mohammed, Dr. D. Vasumathi , "
PAS-Cloud : Toward a Framework With
privacy preserving public Auditing Strategies
for Heterogeneous Data in cloud storage" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 6, Issue 6, November - December 2017 , pp.
092-099 , ISSN 2278-6856.
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