Secure auditing and deduplicating data in cloud

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Secure Auditing and Deduplicating
Data in Cloud
ABSTRACT:
As the cloud computing technology develops during the last decade,
outsourcing data to cloud service for storage becomes an attractive trend, which
benefits in sparing efforts on heavy data maintenance and management.
Nevertheless, since the outsourced cloud storage is not fully trustworthy, it
raises security concerns on how to realize data deduplication in cloud while
achieving integrity auditing. In this work, we study the problem of integrity
auditing and secure deduplication on cloud data. Specifically, aiming at
achieving both data integrity and deduplication in cloud, we propose two secure
systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing
entity with a maintenance of a MapReduce cloud, which helps clients generate
data tags before uploading as well as audit the integrity of data having been
stored in cloud. Compared with previous work, the computation by user in
SecCloud is greatly reduced during the file uploading and auditing phases.
SecCloud+ is designed motivated by the fact that customers always want to

encrypt their data before uploading, and enables integrity auditing and secure
deduplication on encrypted data.

EXISTING SYSTEM:
SecCloud introduces an auditing entity with a maintenance of a Map
Reduce cloud, which helps clients generate data tags before uploading as well
as audit the integrity of data having been stored in cloud. This design fixes the
issue of previous work that the computational load at user or auditor is too huge
for tag generation. For completeness of fine-grained, the functionality of
auditing designed in SecCoud is supported on both block level and sector level.
In addition, SecCoud also enables secure deduplication. Notice that the
“security” considered in SecCoud is the prevention of leakage of side channel
information. In order to prevent the leakage of such side channel information,
we follow the tradition of and design a proof of ownership protocol between
clients and cloud servers, which allows clients to prove to cloud servers that
they exactly own the target data.
Motivated by the fact that customers always want to encrypt their data
before uploading, for reasons ranging from personal privacy to corporate policy,
we introduce a key server into SecCloud as with and propose the SecCloud+
schema. Besides supporting integrity auditing and secure deduplication,
SecCloud+ enables the guarantee of file confidentiality. Specifically, thanks to
the property of deterministic encryption in convergent encryption, we propose a
method of directly auditing integrity on encrypted data. The challenge of
deduplication on encrypted is the prevention of dictionary attack. As with, we
make a modification on convergent encryption such that the convergent key of
file is generated and controlled by a secret “seed”, such that any adversary could
not directly derive the convergent key from the content of file and the dictionary
attack is prevented.

Disadvantages :
 It is very difficult to audit the files huge and large amount of data in cloud
using integrity auditing.
 Data loss and lots of Duplicate files in cloud .
PROPOSED SYSTEM:
We specify that our proposed SecCloud system has achieved both integrity
auditing and file deduplication. However, it cannot prevent the cloud servers
from knowing the content of files having been stored. In other words, the
functionalities of integrity auditing and secure deduplication are only imposed
on plain files. In this section, we propose SecCloud+, which allows for integrity
auditing and deduplication on encrypted files. Cloud Clients have large data
files to be stored and rely on the cloud for data maintenance and computation.
They can be either individual consumers or commercial organizations;
Cloud Servers virtualize the resources according to the requirements of
clients and expose them as storage pools. Typically, the cloud clients may buy
or lease storage capacity from cloud servers, and store their individual data in
these bought or rented spaces for future utilization. Auditor which helps clients

upload and audit their outsourced data maintains a MapReduce cloud and acts
like a certificate authority. This assumption presumes that the auditor is
associated with a pair of public and private keys. Its public key is made
available to the other entities in the system

The design goal of file confidentiality requires to prevent the cloud
servers from accessing the content of files. Specially, we require that the goal of
file confidentiality needs to be resistant to “dictionary attack”. That is, even the
adversaries have pre-knowledge of the “dictionary” which includes all the
possible files, they still cannot recover the target file.
Advantages:
 It provides the Integrity auditing by Clustering the files with removing
the duplicate files
 The duplicate files are mapped with a single copy of the file by mapping
with the existing file in the cloud
MODULE DESCRIPTION:
File Confidentiality:
The design goal of file confidentiality requires to prevent the cloud
servers from accessing the content of files. Specially, we require that the goal of
file confidentiality needs to be resistant to “dictionary attack”. That is, even the
adversaries have pre-knowledge of the “dictionary” which includes all the
possible files, they still cannot recover the target file

Secure Deduplication:
Deduplication is a technique where the server stores only a single copy of
each file, regardless of how many clients asked to store that file, such that the
disk space of cloud servers as well as network bandwidth are saved. However,
trivial client side deduplication leads to the leakage of side channel information.
For example, a server telling a client that it need not send the file reveals that
some other client has the exact same file, which could be sensitive information
in some case.
Encryption & Decryption:
Encryption and decryption provides data confidentiality in
deduplication. A user (or data owner) derives a convergent key from the data
content and encrypts the data copy with the convergent key. In addition, the
user derives a tag for the data copy, such that the tag will be used to detect
duplicates. Here, we assume that the tag correctness property holds, i.e., if two
data copies are the same, then their tags are the same. Formally, a convergent
encryption scheme can be defined with four primitive functions:

Integrity Auditing:
The first design goal of this work is to provide the capability of verifying
correctness of the remotely stored data. The integrity verification further
requires two features:
1. Public verification, which allows anyone, not just the clients originally
stored the file, to perform verification;
2. Stateless verification, which is able to eliminate the need for state
information maintenance at the verifier side between the actions of auditing and
data storage.
ARCHITECTURE

SOFTWARE REQUIREMENTS:
 Operating System : Windows 7
 Technology : Java and J2EE
 Web Technologies : Html, JavaScript, CSS
 IDE : My Eclipse
 Web Server : Tomcat
 Database : My SQL
 Java Version : J2SDK1.7
HARDWARE REQUIREMENTS:
 Hardware : Pentium Dual Core
 Speed : 2.80 GHz
 RAM : 1GB
 Hard Disk : 20 GB
 Floppy Drive : 1.44 MB
 Key Board : Standard Windows Keyboard
 Mouse : Two or Three Button Mouse
 Monitor : SVGA

CONCLUSION:
Aiming at achieving both data integrity and deduplication in cloud, we
propose SecCloud and SecCloud+. SecCloud introduces an auditing entity with
maintenance of a MapReduce cloud, which helps clients generate data tags
before uploading as well as audit the integrity of data having been stored in
cloud. In addition, SecCoud enables secure deduplication through introducing a
Proof of Ownership protocol and preventing the leakage of side channel
information in data deduplication. Compared with previous work, the
computation by user in SecCloud is greatly reduced during the file uploading
and auditing phases. SecCloud+ is an advanced construction motivated by the
fact that customers always want to encrypt their data before uploading, and
allows for integrity auditing and secure deduplication directly on encrypted
data.

Secure auditing and deduplicating data in cloud

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