IRJET-An Algorithmic Approach for Remote Data Uploading and Integrity Checking in Public Cloud

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 576
An Algorithmic approach for Remote Data uploading and Integrity
Checking in Public Cloud
Gayathri Satish
Student/CNE/M.Tech, Dept. of ISE, The National Institute of Engineering, Mysuru, India
---------------------------------------------------------------------***--------------------------------------------------------------------
Abstract- As the technology is been contributing more and
more services for the end-user activity for the purpose of high
computing factors. There may be contribution from more
number of clients to store their information among cloud
servers (public).Introducing security problem solvingmethods
at the backend to process client data among different stakesof
public cloud. When the client faces some set of limitation in
accessing the pcs he might represent the proxy behavior for
storing and uploading of information this might helps in
resolving the security which id been integrated with client
information that need to be processed in public cloud.
Considering all these factors of processing with respect to
security a solution is been proposed for proxy integrated
systems in uploading the information to check the remote
integrity check module(ID-PUIC) is introduced for processing
in public cloud. Here we also represent definition for integrity
check and also respective modeling for system and security.
The ID-PUIC is much more efficient for integrity checking and
flexible enough and its mathematical computation isdrivenby
Diffie-Hellman problem.
Keywords— ID- PUIC.
I Introduction:
The deliverables of cloud services provides the service
among heterogeneous entity are treated as distributed
parameters which essentially requires both logical and
physical attributes to achieve better growth in business and
professional needs . Data governance isan important area in
distributed environment to deal with heterogeneous
platform to achieve common objective for both client and
organizations need. Client usually faces capital investing
issues to store their own information whicharesensitive and
prone to attacks. So clients store their information in a
monitored environment that provides security and
availability for the information. The rapidgrowthofbusiness
in IT in the field of service and Communication generates a
large amount of information or data. This huge amount of
information needs massive computational potential and
larges space for storage. As a result cloud computing was
introduced for satisfy the requirementsof bothend-userand
service providers by adopting on demand and on command
services. The deliverablesof cloud can be from applicationto
platform independent where it differentiates public and
private forms to behave as a different entity as a result client
are free enough and relaxed from investing on storage
infrastructure and management of data accessingaroundthe
globe from different locations.
The data or information which is stored in public cloud
doesn’t have complete control of client where they have
achieved their information outside their storage space as a
result there is lack of security and lack of trust inbetweenthe
public cloud and clients. The security termscan bedefinedby
three parameters Confidentiality, Availability and Integrity
Among the above set parameters integrity is an important
factor and primitive one for remote data integrity check. In
few instances the data owner may be declared as
unauthorized party to access to his own data from PCS. In
this case the owner will refer for accessing theinformationto
the third party like proxy. The other face of the entity must
provide a protocol likeremote integration checkingmodelin
order to make the system efficient and reliable.
II. Existing System
Many of the security problemsbeingencounteredincloudfor
processing of information work based on cryptography,ABE
schemes, Policy attributes and so on all these are correlated
with security measures to contribute for various reliable
factors. The existing system containsretrieval ofinformation
without data proofing and not delegatingthetwoinformation
proxy services. Also proof to retrieving the informationlacks
in higher security control when the data is distributedamong
different locations to process parallel. Below figure
represents the key generation and its attributes for existing
culture.
In public cloud there is no availability to solve integritycheck
and there is no efficient model for proxy service that deals
with public cloud services. In the existing system normally
reduplication takes place due to data redundancy.
Malicioususer Attacks at intrusion level withoutconsidering
larger data sets.
Fig 1

III. Proposed System
 Mainly focus on proxy content and checks the
integrity of information remotely.
 Implanting ID-PUIC protocol and ignoring
certification management.
 Consideration of Bilinear pairing system for
Security model.
 Pioneering the ID-PUIC model to check private,
outsourced and public respectively.
IV. System Assumption:
Framework prototype and Reliability model of ID-PUIC has
ID-PUIC convention which can be isolated into four, for
example, Original Client Public Cloud Server, Proxy, Key
Generation Center. Fig1 speaks to Data stream outline of
System model and security display. Unique Client has
enormous measure of information which is transferred to a
substance which has monstrous information to be
transferred to Public cloud serversCS utilizingthesupportof
designated intermediary which play out the activities of
remote information trustworthiness checking. Open Cloud
public Server is component which is controlled by cloud
administrations which has proficient capacity zone and
whatever the customers transfer the information is kept up
by the calculation asset. Intermediary is a substance which
formsthe first customer'sinformation which is approved by
the intermediary when warrant m fulfilled as a substitute
and produced by the first customer which prepare and
transfers the information of unique customersorelsesystem
is not performed. Key Generation Center is additionally a
substance. While accepting a character Key Generation
Center which creates the private key compares to the
personality got.
V. Data Flow Model:
Fig 2
VI. Data flow diagram for ID-PUIC :
Step1: User Registration
Step2: Login to Public Cloud
Step3: Client Upload a documents.
Step4: Proxy checking verifying for duplication of files
Step5: Auditor will generate unique Integration key and
process the client request.
Fig 3
VII. Modules:
In the ID-PUIC modeling the actual owner will communicate
with PCS to verify the remote integrity factors. There by
providing a better proof system which interactive enough.
The data or information which is stored in public cloud
doesn’t have complete control of client where they have
achieved their information outside their storage space as a
result there is lack of security and lack of trust inbetweenthe
public cloud and clients. The security termscan bedefinedby
the parameters. Among the below set parametersintegrityis
an important factor and primitive one for remote data
integrity check. In few instances the data owner may be
declared as unauthorized party to access to his own data
from PCS. In this case the owner will refer for accessing the
information to the third party like proxy. The other face of
the entity must provide a protocol like remote integration
checking model in order to make the system efficient and
reliable.

 Extract,
 Proxy-key generations,
 TagGen
 Proofs.
A. Extract:
Consider K is the security parameter asinput, So thatwhenit
is an input then it leads to the system community framework
as output and the master secret key. The system community
framework are considers as made access to public and the
master secret key MSK is consider as made privy using KGC
which generates the output as individual private key sk and
identical to the corresponding ID.
B. Proxy-Key Generation:
Here authentic Client produces the warrant mω And signs
mω after warrant signature pair receivedbytheproxy.While
receiving the warrant signature pair from authentic Client,
the proxy produces the proxy-key by using its own private
key.
C. TagGen:
TagGen takes a input as File block Fi and another one proxy-
key, the proxy produces block tag. The respected then block
tag pair is uploading to public cloud service. The
intermediary creates the square'stag andtransferpiecelabel
sets to PCS after the contribution of information piece.
D. Proofs:
In the Proof, the communication withPCSwillhappenunique
customer and checks uprightnessof the remote information.
Unique Client has immense measure of information which is
transferred to a substance which hasmonstrousinformation
to be transferred to Public cloud servers CS utilizing the
support of appointed intermediary which play out the
activities of remote information respectability checking.
Without over-burdening the set with single bottleneck
circumstance. The principle factor of ABE utilization is toget
incorporated among heterogeneous operators intuitively to
structure a perfect basic leadership get to device.
VIII. Related Work
A. Framework form Attacks:
Securing the zone of the recipient is incredibly basic. And
underlined the noteworthiness and proposed the securities
against movement examination. The child centre point must
mix a fake package when it has no bundle to send.
Subsequently, the lifetime of the WSN is reduced. More-over,
the transmission times of the bundles are subjectively
conceded with a particular ultimate objective to hide the
movement plan. Later, watched out for the issue of how to
disguise the zone of the data gatherer. The makerswantedto
develop counter measuresagainst developmentexamination
strikes. Multi-way directing what's more, fake messages
spread is familiar all together with sells out and deludes an
adversary, so that the bona fide way can't be viably found. As
discussed over, the development examinationambushestake
longer time than the package taking after attack. In previous
work they did not consider the package taking after ambush.
In order to defend against the time connection ambush,
advanced work proposed to defer the transmission times of
the packages heedlessly remembering the true objective to
conceal the development outline, which is unsatisfactory for
the frameworks with unimportant framework action.
B. Zonal information:
The source-zone insurance issue this work proposes the
Phantom Routing tradition to counter foes taking after back
packsto the source centre. This tradition sendseachmessage
on an unpredictable or guided walk around an apparition
source, which finally progresses the bundle to the sink using
a flooding-based or a lone way controlling arrangement.
Thusly, every package appears to have begun from another
data source. This tradition shows a couple inconveniences
particularly in the walking stage, which has a tendency to
stay close-by to the principal source. New courses of action
have concentrated on controlling this walking stage while in
various game plans the ghost sources are set in a ring where
the messages are mixed with fake development. To hide the
closeness of eventsfrom adversarieswith an overall hearing
degree, in all sensors transmit messages at a settled rate
paying little regard to the nearness of honest to goodness
events.
C. Re-Encryption:
The idea of intermediary re-encryption (PRE), where asemi-
trusted intermediary can change a ciphertext for Alice into
another ciphertext that Bob can unscramble. Be that as it
may, the intermediary can get the hang of nothing about the
comparing plaintext. As per the course of change, PRE plans
can be arranged into two sorts, namely, bi-directional or
unidirectional. A PRE plot is called bidirectional if the
intermediary can utilize the re-encryption key to occupy
ciphertexts from Alice to Bob what's more, the other way
around. Else, it is called unidirectional. In unidirectional PRE
plans, the intermediary can as it were change in one heading.
A likewise gave another technique to order PRE plans, called
multi-utilize, i.e., the ciphertext can be changed from Alice to
Bob to Charlie and single-utilize, i.e., the ciphertext can be
changed just once. Because of its change property, PRE plans
can be utilized as a part of numerous applications, including
disentanglement of key conveyance.
IX Conclusion &Future Work:
Roused by the appliance needs, this work emphasizes the
novel protection thoughtof ID-PUIC out intheavailablecloud

community. The work specifies ID-PUIC's system prototype
and framework illustrate. By then, the initial strong ID-PUIC
procedure is used by compiling the bilinear pairingssystem.
The robust ID-PUIC is provably privy and secured, and
coercive by using the conventional securityconfirmationand
capable of examine. On the other session, the suggested ID-
PUIC manner to recognize privy remote trusted data
checking, appointed remote data appropriateness checking
and available remote data uniqueness and genuineness
checking in aspect of the principal client's endorsement.
IX. REFERENCES:
[1] Z. Fu, X. Sun, Q. Liu, L. Zhou, and J. Shu, “Achieving
efficient cloud search services: Multi-keywordrankedsearch
over encrypted cloud data supporting parallel computing,”
IEICE Trans. Commun., vol. E98-B, no. 1, pp. 190–200, 2015.
[2] Y. Ren, J. Shen, J. Wang, J. Han, and S. Lee, “Mutual
verifiable provable data auditing in public cloud storage,” J.
Internet Technol., vol. 16, no. 2, pp. 317–323, 2015.
[3] M. Mambo, K. Usuda, and E. Okamoto, “Proxy signatures
for delegating signing operation,” in Proc. CCS, 1996, pp. 48–
57.
[4]E.-J. Yoon, Y. Choi, and C. Kim, “New ID-based proxy
signature scheme with message recovery,” in Grid and
Pervasive Computing (LectureNotes in Computer Science),
vol. 7861. Berlin, Germany: Springer- Verlag, 2013, pp. 945–
951.
[5]B.-C. Chen and H.-T. Yeh, “Secure proxy signatureschemes
from the weil pairing,” J. Supercomput., vol. 65, no. 2, pp.
496–506, 2013.
[6]X. Liu, J. Ma, J. Xiong, T. Zhang, and Q. Li, “Personal health
records integrity erification using attribute based proxy
signature in cloud computing,” in Internet and Distributed
Computing Systems (Lecture Notes in Computer Science),
vol. 8223. Berlin, Germany: Springer- Verlag, 2013, pp. 238–
251.
[7] H. Guo, Z. Zhang, and J. Zhang, “Proxy re-encryption with
unforgeable re-encryption keys,” in CryptologyandNetwork
Security (Lecture Notes in Computer Science), vol. 8813.
Berlin, Germany: Springer-Verlag,2014, pp. 20–33.
[8] E. Kirshanova, “Proxy re-encryption from lattices,” in
Public-KeyCryptography (Lecture Notes in Computer
Science), vol. 8383. Berlin, Germany: Springer-Verlag, 2014,
pp. 77–94.
[9]P. Xu, H. Chen, D. Zou, and H. Jin, “Fine-grained and
heterogeneous proxy re-encryption for secure cloud
storage,” Chin. Sci. Bull., vol. 59, no. 32, pp. 4201–4209,2014.
[10] S. Ohata, Y. Kawai, T. Matsuda, G. Hanaoka, and K.
Matsuura, “Re-encryption verifiability: How to detect
malicious activities of a proxy in proxy re-encryption,” in
Proc. CT-RSA Conf., vol. 9048. 2015, pp. 410–428.
[11] G. Ateniese et al., “Provable data possessionatuntrusted
stores,” in Proc. CCS, 2007, pp. 598–609.
[12] G. Ateniese, R. Di Pietro, L. V. Mancini, and G. Tsudik,
“Scalable and efficient provable data possession,” in Proc.
SecureComm, 2008, Art. ID 9.
[13] C. C. Erway, A. Küpçü, C. Papamanthou, and R. Tamassia,
“Dynamic provable data possession,” in Proc. CCS, 2009, pp.
213–222.
[14] E. Esiner, A. Küpçü, and Ö. Özkasap, “Analysis and
optimization on FlexDPDP: A practical solution for dynamic
provable data possession,” Intelligent Cloud Computing
(Lecture Notes in Computer Science), vol. 8993. Berlin,
Germany: Springer-Verlag, 2014, pp. 65–83.
[15]E. Zhou and Z. Li, “An improved remote data possession
checking protocol in cloud storage,” in Algorithms and
Architectures for Parallel Processing (Lecture Notes in
Computer Science), vol. 8631. Berlin, Germany: Springer-
Verlag, 2014, pp. 611– 617.
[16]H. Wang, “Proxy provable data possession in public
clouds,” IEEE Trans. Services Comput., vol. 6, no. 4, pp. 551–
559, Oct./Dec. 2013.
[17]H. Wang, “Identity-based distributed provable data
possession in multicloud storage,” IEEE Trans. Services
Comput., vol. 8, no. 2, pp. 328–340, Mar./Apr. 2015.
[18] H. Wang, Q. Wu, B. Qin, and J. Domingo-Ferrer,“FRR:Fair
remote retrieval of outsourced private medical records in
electronic health networks,” J. Biomed. Inform., vol. 50, pp.
226–233, Aug. 2014.
[19]H. Wang, “Anonymous multi-receiver remote data
retrieval for pay-TV in public clouds,” IET Inf. Secur., vol. 9,
no. 2, pp. 108–118, Mar. 2015.
[20]H. Shacham and B. Waters, “Compact proofs of
retrievability,” in Proc. ASIACRYPT, vol. 5350. 2008, pp. 90–
107.
[21]D. Cash, A. Küpçü, and D. Wichs, “Dynamic proofs of
retrievability via oblivious RAM,” in Proc.

IRJET-An Algorithmic Approach for Remote Data Uploading and Integrity Checking in Public Cloud

Recommended

Recommended

More Related Content

What's hot

What's hot (19)

Similar to IRJET-An Algorithmic Approach for Remote Data Uploading and Integrity Checking in Public Cloud

Similar to IRJET-An Algorithmic Approach for Remote Data Uploading and Integrity Checking in Public Cloud (20)

More from IRJET Journal

More from IRJET Journal (20)

Recently uploaded

Recently uploaded (20)

IRJET-An Algorithmic Approach for Remote Data Uploading and Integrity Checking in Public Cloud