IRJET- Data Deduplication Security with Dynamic Ownership Management

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue:08 | Aug 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1624
DATA DEDUPLICATION SECURITY WITH DYNAMIC OWNERSHIP
MANAGEMENT
Tanvi Rudrashetty1
1B. Tech Student, Department of CSE, Gurunanak Institutions, Ibrahimpatnam, Hyderabad, India
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Abstract -To provide security of deduplication systemwith
high authentication during which the information is being
distributed across multiple cloud servers. Deduplication
technique eliminates redundant data and stores only a single
copy of that data. By the use of hash table formula, the
requirement of informationconfidentialityandreducingspace
storage are achieved. It converts a range of key values into a
range of indexes of an array. It performs a basic operations of
a research, insert, and deletion. As a result, security analysis
demonstrate that our deduplication systems are secure in the
proposed system. To protect the confidentiality of sensitive
data while supporting deduplication, thehashtablealgorithm
technique has been proposed to encrypt the data before
outsourcing. To safeguard information security which has
been different from conventional deduplication systems, the
differential rights of users are further considered induplicate
check besides the data itself. Data deduplication is one of the
principal information compression approach for terminating
duplicate copies of redundant information, and has been
widely incorporated in cloud storage to decrease the quantity
of storage space and save bandwidth. To protecttheprivacyof
sensitive information while supporting deduplication, the
convergent coding technique has been planned to encode the
information before outsourcing.
Key Words: Security, Data De-duplication, Convergent
Encryption, Privacy, Authentication.
1. INTRODUCTION
Because of the importance in serving users to form real time
decisions, information dissemination hasbecomeimportant
in several large-scale emergency applications, like
earthquake observation, disaster weather warning, and
status update in social networks. Recently, information
dissemination in these emergency applications presents a
number of contemporary trends. One is the rapid growth of
live content. For example, Facebook users publish over
600,000 pieces of content and Twitter users send over
100,000 tweets on average per minute.
The other is the highly dynamic network environment. For
instance, the measurement studies indicate that most users’
sessions in social networks only last several minutes. In
emergency eventualities, the fulminant disasters like
earthquake or weather condition might causethefailureofa
large range of users instantly. These characteristics require
the data dissemination system to be scalable and reliable.
Firstly, the system should be scalable to supportthe massive
quantity of live content. The key is to supply an ascendable
event matching service to separate extraneous users.
Otherwise, the content may have to traverse a large number
of uninterested users before they reach interested users.
Secondly, with the dynamic network environment, it’s quite
necessary to provide reliable schemes to keep continuous
data dissemination capacity. Otherwise, the system
interruption might cause the live content becomes obsolete
content. Driven by these necessities, publish/subscribe
(pub/ sub) pattern is widely used to disseminatedata due to
its flexibility, scalability, and efficient support of complex
event processing. In pub/sub systems(pub/subs),a receiver
(subscriber) registers its interest in the form of a
subscription. Events are published by senders to the pub/
sub system. In conventional information dissemination
applications, the live content isgeneratedbypublishersatan
occasional speed, that makes several pubs/subs adopt the
multi-hop routing techniques to distribute events. A large
body of broker-based pub/subs forward events and
subscriptions through organizing nodes into diverse
distributed overlays, such astreebaseddesigncluster-based
design and DHT-based design. However, the multichip
routing techniques in these broker-based systems cause an
occasional matching turnout, that is insufficient to apply to
current high arrival rate of live content.
2. EXSISTING SYSTEM
In the existing deduplication system,eachuserisissueda set
of privileges during system initialization.
Each file uploaded to the cloud is additionally finite by a
group of privileges to specify which type of users is allowed
to perform the duplicate check and access the files. Before
presenting his duplicate check request for a file, the user
needs to take that particular file and his veryown benefits as
inputs. The user is in a position to seek out a replica for this
file if and provided that there's a duplicate of this file and a
matched privilege stored in cloud.
3. PROPOSED SYSTEM
The proposing system, we terminating redundant copies of
repeating information has been widely usedincloudstorage
to minimize the amount of storage capacity and save
bandwidth. To protect the privacy of sensitive information
while supporting deduplication, the convergent encryption
technique has been proposed to encrypt the data before
outsourcing. To better protect information security, this

paper makes the first attempt to formally address the
problem of authorized data deduplication.
4. SYSTEM ARCHITECTURE
Architecture diagram shows the connection between
completely different elements of system.
This diagram is extremely necessary to know the general
idea of system. Architecture representation might be a plan
of a system, within which the essential components or roles
and tasks are described by blocks connected by lines that
show the relationships of the blocks. They are heavily
employed in the engineering world in hardware model,
electronic plan, package representation, and process flow
diagrams.
Fig-1: System Architecture
5. IMPLEMENTATION
Fig-2.1: Cloud Login
Description: Page when we run the project where the
authentication server provides authorized logins.
Fig-2.2 Entering Convergent key
Description: creating convergent key for securing data
deduplication where we get access to user Id details.
Fig-2.3 Private cloud Login
Description: Private cloud connects to public cloud
infrastructure, allowing an organization to orchestrate
workloads across the two environments.
SEND REQUEST TO GET FILE TOKEN
USER
PRIVATE
CLOUD
PUBLIC
CLOUD
CONVER
GENT
KEY
GENERAT
ION
UPLOAD
ING A
FILE
DEDUPLIC
ATION
SYSTEM

Fig 2.4 Document creation and data representation
Description: Document creation for security purpose after
user access.
6. CONCLUSIONS
The notion of approved information deduplication was
planned to safeguard the information security by including
divergent rights of users within the duplicate check.
In which the replicated -check tokens of files are generated
by the private cloud server with private(special) keys.
7. FUTURE ENHANCEMENT
In future there are still some possible extensions of our
current work remaining. If user wants to modify a file in
already stored in cloud, user can modify.
REFERENCES
1. Paul Anderson, Le Zhang[1],FastandSecureLaptop
Backups with Encrypted De-duplication,2011
2. Pasquale puzio secludit and eurecom, refik molva
eurecom, melek o nen eurecom[2], Clouded up:
secure deduplication with encrypted data for cloud
storage,2012
3. N.O.agrawal,Prof Mr. s.s. kulkarni[3], Secure
deduplication and data security with efficient and
reliable CEKM,2014
4. Pierre-Louis Cayrel1, Philippe Gaborit1 and Marc
Girault2[4], Identity-basedsignatureschemesusing
correcting codes,2011.
5. B.C. Tea, M.R.K. Ariffin and J.J. Chin[5], An Efficient
Identification Scheme in Standard Model Based on
the Diophantine Equation Hard Problem,2013.

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