Identity-Based Distributed Provable Data Possession in
Multi-Cloud Storage
ABSTRACT:
Remote data
integrity checking is of crucial importance in cloud storage. It can make the
clients verify whether their outsourced data is kept intact without downloading
the whole data. In some application scenarios, the clients have to store their
data on multi-cloud servers. At the same time, the integrity checking protocol
must be efficient in order to save the verifier’s cost. From the two points, we
propose a novel remote data integrity checking model: ID-DPDP (identity-based
distributed provable data possession) in multi-cloud storage. The formal system
model and security model are given. Based on the bilinear pairings, a concrete
ID-DPDP protocol is designed. The proposed ID-DPDP protocol is provably secure
under the hardness assumption of the standard CDH (computational DiffieHellman)
problem. In addition to the structural advantage of elimination of certificate
management, our ID-DPDP protocol is also efficient and flexible. Based on the
client’s authorization, the proposed ID-DPDP protocol can realize private
verification, delegated verification and public verification.
EXISTING SYSTEM:
In cloud
computing, remote data integrity checking is an important security problem. The
clients’ massive data is outside his control. The malicious cloud server may
corrupt the clients’ data in order to gain more benefits. The formal system
model and security model are existing models.
In the PDP model, the verifier can
check remote data integrity with a high probability. Based on the RSA, they
designed two provably secure PDP schemes. PDP allows a verifier to verify the
remote data integrity without retrieving or downloading the whole data. It is a
probabilistic proof of possession by sampling random set of blocks from the
server, which drastically reduces I/O costs. The verifier only maintains small
metadata to perform the integrity checking. PDP is an interesting remote data
integrity checking model.
In POR, the verifier can check the remote data
integrity and retrieve the remote data at any time. On some cases, the client
may delegate the remote data integrity checking task to the third party. It
results in the third party auditing in cloud computing
DISADVANTAGES
OF EXISTING SYSTEM:
·
Does
not provide efficiency in remote data integrity checking.
·
More
expensive.
·
The
existing system provides less flexibility.
PROPOSED SYSTEM:
Remote data
integrity checking is of crucial importance in cloud storage. In multi-cloud
environment, distributed provable data possession is an important element to
secure the remote data. we propose a novel remote data integrity checking
model: ID-DPDP (identity-based distributed provable data possession) in
multi-cloud storage. The proposed ID-DPDP protocol is provably secure under the
hardness assumption of the standard CDH (computational Diffi Hellman) problem.
The proposed ID-DPDP protocol can realize private verification, delegated
verification and public verification.
ADVANTAGES
OF PROPOSED SYSTEM:
·
The
distributed cloud storage is indispensable.
·
Efficient and Flexible.
·
Elimination
of the certificate management.
SYSTEM
ARCHITECTURE:
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
Ø
System : Pentium IV 2.4 GHz.
Ø
Hard Disk :
40 GB.
Ø
Floppy Drive : 1.44
Mb.
Ø
Monitor : 15
VGA Colour.
Ø
Mouse :
Logitech.
Ø Ram : 512 Mb.
SOFTWARE
REQUIREMENTS:
Ø Operating system : Windows
XP/7.
Ø Coding Language : ASP.net,
C#.net
Ø Tool : Visual Studio 2010
Ø Database : SQL
SERVER 2008
REFERENCE:
“Identity-Based Distributed Provable Data Possession
in Multi-Cloud Storage”, IEEE
Transactions on Services Computing, 2014.
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