ensuring data storage security in cloud computing
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madhuri.nallam1708
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#1
21-02-2011, 12:40 PM


project and implimentation on ensuring data storage security
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seminar project
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#2
02-05-2011, 12:51 PM

hi
you can refer this page to get the details on ensuring data storage security in cloud computing

seminar and presentationproject and implimentationsattachment.php?aid=6528
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alekhyait1202@gmail.com
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#3
18-07-2011, 07:21 PM

plzzz send me project and implimentation idea&ppt
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#4
19-07-2011, 10:23 AM

you can refer these page details of "ensuring data storage security in cloud computing"link bellow
seminar and presentationproject and implimentationsattachment.php?aid=6528

topicideashow-to-cloud-computing--4041
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akbar100
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#5
18-08-2011, 09:11 PM

hey can u plz send me this project and implimentation.i m in need of this project and implimentation......its really an interesting project and implimentation......my email id is akber_23@yahoo.com
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akbar100
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#6
18-08-2011, 09:26 PM

plz mail me ensuring data storage security in cloud computing project and implimentation......i am in need of this project and implimentation as am a final year student ...my email id is akber_23@yahoo.com...plz mail me as early as possible..
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seminar addict
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#7
19-08-2011, 09:50 AM

you can refer these page details of "ensuring data storage security in cloud computing"link bellow
seminar and presentationproject and implimentationsattachment.php?aid=6528

topicideashow-to-cloud-computing--4041
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seminar addict
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#8
18-01-2012, 10:12 AM

to get information about the topic ensuring data storage security in cloud computing full report ,ppt and related topic refer the link bellow

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seminar addict
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#9
20-01-2012, 10:12 AM


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seminar addict
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#10
10-02-2012, 10:00 AM

to get information about the topic cloud computing full report ,ppt and related topic refer the link bellow

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seminar paper
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#11
05-03-2012, 01:08 PM

to get information about the topic ensuring data storage security in cloud computing full report ,ppt and related topic refer the link bellow

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project uploader
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#12
05-04-2012, 03:53 PM

you can refer this page to get the details on ensuring data storage security in cloud computing

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mdjamal28
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#13
27-04-2012, 12:16 AM

Send me full project and implimentation & code with ppts..
Thanks
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seminar ideas
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#14
09-05-2012, 09:50 AM

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seminar flower
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#15
03-09-2012, 12:51 PM

Ensuring Data Storage Security in Cloud Computing



Abstract

Cloud Computing has been envisioned as the nextgeneration
architecture of IT Enterprise. In contrast to traditional
solutions, where the IT services are under proper physical,
logical and personnel controls, Cloud Computing moves the
application software and databases to the large data centers,
where the management of the data and services may not be
fully trustworthy. This unique attribute, however, poses many
new security challenges which have not been well understood.
In this article, we focus on cloud data storage security, which
has always been an important aspect of quality of service. To
ensure the correctness of users’ data in the cloud, we propose an
effective and flexible distributed scheme with two salient features,
opposing to its predecessors. By utilizing the homomorphic token
with distributed verification of erasure-coded data, our scheme
achieves the integration of storage correctness insurance and data
error localization, i.e., the identification of misbehaving server(s).
Unlike most prior works, the new scheme further supports secure
and efficient dynamic operations on data blocks, including: data
update, delete and append. Extensive security and performance
analysis shows that the proposed scheme is highly efficient and
resilient against Byzantine failure, malicious data modification
attack, and even server colluding attacks.

INTRODUCTION

Several trends are opening up the era of Cloud Computing,
which is an Internet-based development and use of computer
technology. The ever cheaper and more powerful processors,
together with the software as a service (SaaS) computing architecture,
are transforming data centers into pools of computing
service on a huge scale. The increasing network bandwidth and
reliable yet flexible network connections make it even possible
that users can now subscribe high quality services from data
and software that reside solely on remote data centers.
Moving data into the cloud offers great convenience to
users since they don’t have to care about the complexities
of direct hardware management. The pioneer of Cloud Computing
vendors, Amazon Simple Storage Service (S3) and
Amazon Elastic Compute Cloud (EC2) [1] are both well
known examples. While these internet-based online services
do provide huge amounts of storage space and customizable
computing resources, this computing platform shift, however,
is eliminating the responsibility of local machines for data
maintenance at the same time. As a result, users are at the
mercy of their cloud service providers for the availability and
integrity of their data. Recent downtime of Amazon’s S3 is
such an example [2].

Adversary Model

Security threats faced by cloud data storage can come
from two different sources. On the one hand, a CSP can
be self-interested, untrusted and possibly malicious. Not only
does it desire to move data that has not been or is rarely
accessed to a lower tier of storage than agreed for monetary
reasons, but it may also attempt to hide a data loss incident
due to management errors, Byzantine failures and so on.
On the other hand, there may also exist an economicallymotivated
adversary, who has the capability to compromise
a number of cloud data storage servers in different time
intervals and subsequently is able to modify or delete users’
data while remaining undetected by CSPs for a certain period.

ENSURING CLOUD DATA STORAGE

In cloud data storage system, users store their data in
the cloud and no longer possess the data locally. Thus, the
correctness and availability of the data files being stored on the
distributed cloud servers must be guaranteed. One of the key
issues is to effectively detect any unauthorized data modification
and corruption, possibly due to server compromise and/or
random Byzantine failures. Besides, in the distributed case
when such inconsistencies are successfully detected, to find
which server the data error lies in is also of great significance,
since it can be the first step to fast recover the storage errors.
To address these problems, our main scheme for ensuring
cloud data storage is presented in this section. The first part of
the section is devoted to a review of basic tools from coding
theory that are needed in our scheme for file distribution across
cloud servers. Then, the homomorphic token is introduced.
The token computation function we are considering belongs
to a family of universal hash function [11], chosen to preserve
the homomorphic properties.

RELATED WORK

Juels et al. [3] described a formal “proof of retrievability”
(POR) model for ensuring the remote data integrity. Their
scheme combines spot-cheking and error-correcting code to
ensure both possession and retrievability of files on archive
service systems. Shacham et al. [4] built on this model and
constructed a random linear function based homomorphic
authenticator which enables unlimited number of queries and
requires less communication overhead. Bowers et al. [5] proposed
an improved framework for POR protocols that generalizes
both Juels and Shacham’s work. Later in their subsequent
work, Bowers et al. [10] extended POR model to distributed
systems. However, all these schemes are focusing on static
data. The effectiveness of their schemes rests primarily on the
preprocessing steps that the user conducts before outsourcing
the data file F. Any change to the contents of F, even
few bits, must propagate through the error-correcting code,
thus introducing significant computation and communication
complexity.

CONCLUSION

In this paper, we investigated the problem of data security
in cloud data storage, which is essentially a distributed storage
system. To ensure the correctness of users’ data in cloud
data storage, we proposed an effective and flexible distributed
scheme with explicit dynamic data support, including block
update, delete, and append.We rely on erasure-correcting code
in the file distribution preparation to provide redundancy parity
vectors and guarantee the data dependability. By utilizing the
homomorphic token with distributed verification of erasurecoded
data, our scheme achieves the integration of storage correctness
insurance and data error localization, i.e., whenever
data corruption has been detected during the storage correctness
verification across the distributed servers, we can almost
guarantee the simultaneous identification of the misbehaving
server(s). Through detailed security and performance analysis,
we show that our scheme is highly efficient and resilient to
Byzantine failure, malicious data modification attack, and even
server colluding attacks.
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