Proxy-Oriented Data Uploading & Monitoring Remote Data Integrity in Public Cloud

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1022
Proxy-Oriented Data Uploading & Monitoring Remote Data Integrity in
Public Cloud
Tanmay Borkar1, Mangesh Dudhal2, Snehal Ghadage3, Sumit Kawale4
1, 2, 3 & 4Dept. of Computer Engineering, NBN Sinhgad School of Engineering, Maharashtra, India
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Abstract - In today’s modern era, each & every person is
connected to Cloud Infrastructure for storing his huge data
sets due to rapid development in Cloud Computing. Cloud
Services are getting very prominent but introduction to new
threats &security issues restricts users from uploadingdatato
cloud. When a user is restricted to upload a data, he/she will
alter his proxy & to upload his data to Cloud Environment.
Uploading data with proxy alteration, also introduces new
treats like Data stealing & uploading malware on Cloud
Infrastructure. Furthermore,remoteintegritycheckingof data
is also an major security issue in public cloudstorage. Itmakes
client monitor his/her data set's integrity without actually
downloading it. To counter such issues, we present a
Cryptographic Proxy Oriented Data Uploading to avoid data
from fake sources & algorithms to protect user data from
external or internal threats.
Key Words: Cloud Computing, ID-PUIC, Proxy Orientation,
Malware Detection, Data Integrity, Key Generation,
Encryption & Decryption.
1. INTRODUCTION
Due to rapid progress in cloud computing, many
users prefer to save their data to public cloudservers.Newly
developed security problems have to be solved to help as
many clients as possible to compute their data in public
cloud. When the client is restricted to access Public Cloud
Server, he/she will alter its proxy to process his data &
upload them.
In addition to this, checking of remote data integrity is the
most trivial security issue in public cloud storage. It ensures
that the client data are kept undamaged without
downloading the whole data.
Based on security problems, we propose a system called
proxy-oriented data uploading and remote data integrity
checking system using identity-based public key
cryptography: remote data integrity checkinginpubliccloud
and identity-basedproxy-orienteddata uploading(ID-PUIC).
We design a system & security model that is robust ID-PUIC
protocol which is efficient to counter visible problems. The
proposed ID-PUIC protocol is securely based on thestiffness
of computational Diffie–Hellmanproblem.Thisproposed ID-
PUIC protocol is not only efficient but also flexible.
Depending on the client’s authorization, the proposed ID-
PUIC protocol can perform checking of private remote
integrity of data to avoid any anonymous data from false
sources and maintain protection of data integrity.
2. EXISTING SYSTEM
Now a day’s most of the users over internet use public cloud
to upload and store their data. In fact, users prefers to store
huge amount of data on PCS (public cloud system), it may be
normal photographs or files to a large amount of a secret
data of a company or corporates. Once it is uploaded by
client on PCS, then its data integrity is checked over the
internet and this causes the problem for most of the times.
For example, let say in case of small organization where
individual manager uploads secret and commercial data on
PCS and later on the same manager found in commercial
fraud of the organization then obviously he/she may not be
able to access the public cloudnetwork againstsafeguarding
the business. But even if he/she can’t be able to process the
huge data over a time period then the company will be in
serious issues so he/she has to appoint someloyal person so
that they can process the data. But in this case also the
manager will not be sure on his/her delegates whether they
can process the data integrity correctly and efficiently.
Publicly checking the data integritymayleadtoprivacyissue
of data leaking over PCS. The data stored on PCS may lead to
malicious activities. As the data uploaded on PCS is very
confidential and has to be kept secured. So there has to be a
provision of private data integrity whichcanbeonlydone by
a Manager or his/her level person of an organization. So
he/she has to appoint someone as a proxy to check the data
integrity part. So we will be having a remote data integrity
checking, through a protocol, which will be done by certain
certificate management. When the person like Manager
delegate the data integrity part over PCS, then the delegate
has to check the data integrity through the certificates
checking and validity each time.
3. DISADVANTAGES OF EXISTING SYSTEM
1. In case of Public Key Infrastructure, weneedtotake
care of lot of things like certificate generation, its
verification, revocationofcertificateanditsrenewal
which increases the time complexity and overhead
on PCS.
2. In PCS, the other devices like IPADS, Tablets and
mobile phone may result into low computational
capacity.

4. LITERATURE REVIEW
In today's digital era, cloudcomputingplaysa significant
role in storage of data. The substantial developmentincloud,
solves many issues of storing enormous static or runtime
datasets. Along with advantages, it contains much
vulnerability. It is more prone to maliciously uploading of
data & data theft attacks. It also contains vulnerability of
monitoring the erectness of uploaded data.
Customers tend to upload, store and retrieve all their
essential data and information through the cloud service
providers that is CPSs using distributed computing. New
security issues come across that whetherthedata issafe,isit
from a trusted user, etc. Data honesty is also another issue
which needs to be overlooked. Issues of checking whether
the data is kept in a safe location or not is also needed to be
checked. To overcome such issues Remote Integrity
information system is used. In the paper the use of Identity
based Proxy oriented data uploading and remote data
integrity checking (ID-PUIC) protocol is proposed. This is
effective and adaptable and can understand the private
remote information honesty checking, and open remote
information honour checking. Customers store their large
data/information in the remote open cloud servers while
using the cloud computing concept. It does not guarantee
whether the data is stored in right place. Thus, remote
information integrity checking enables the customers to
understand the storage of information and location of
information. Due to its limitations, owner's information is
known to limited people. Using the real client’s permission
or authorization this protocol ensures the private checking
and public checking respectively.
5. PROPOSED SYSTEM
The area remote data integrity checking and identity
based proxy oriented data uploading is focused in this
project. As the certificate management is eliminated, with
the use of identity based public key cryptologyourproposed
ID-PUIC protocol is efficient.
ID-PUIC is remote data integrity checking model in
public cloud as well as a novel proxy oriented data
uploading. We give the formal system model and security
model for ID-PUIC protocol.
The first ID-PUIC protocol was designed on the basis of
bilinear pairing. Our ID-PUIC model is proven tobesecurein
the random oracle model. Our protocol can realized
delegated checking, private checking and public checking
based on the original client authorization.
6. ADVANTAGES OF PROPOSED SYSTEM
1. The efficiency of our system is improved coz we are
implementing data integrity onPCSthrougha proxy
oriented data upload.
2. The main advantage of our system is that securityis
improved as we are implementing identity based
proxy oriented schemefordata uploadingthrougha
concrete ID-PUIC protocol which is secure and
efficient.
7. SYSTEM ARCHITECTURE
Fig. 1. System Architecture
The concrete ID-PUIC protocol comprises four procedures:
Setup, Extract, Proxy-key generation, TagGen, and Proof. In
order to show the intuition of our construction, the concrete
protocol's architecture is depicted in Figure 1. First, Setup is
performed and the system parameters are generated. Based
on the generated system parameters, the other procedures
are performed as Figure 1. It is described below:
(1) In the phase Extract, when the entity's identity is input,
KGC generates the entity's private key. Especially, it can
generate the private keys for the client and the proxy.
(2) In the phase Proxy-key generation, the original client
creates the warrant and helps the proxy generate the proxy
key.
(3) In the phase TagGen, when the data block is input, the
proxy generates the block’s tag and uploads block-tag pairs
to PCS.
(4) In the phase Proof, the original client O interacts with
PCS. Through the interaction, O checks its remote data
integrity
Fig. 2. Working

8. CONCLUSION
In this paper, we introduce proxy based data uploading
concept and have successfully implemented in public cloud.
Furthermore, we have also introduced malware detection
while uploading the data to cloud and have successfully
implemented the feature that can correct the malware on its
detection. In addition to this, our system has even
successfully ingrained the ability to check the robustness of
data placed in public cloud with downloading the whole
contents for robust test.
In general, the systemproposedinthispaperisdesigned
to be responsive and adaptive to run time data variety and
protection from malicious file without explicitly
programmed.
9. REFERENCES
[1] Z. Fu, X. Sun, Q. Liu, L. Zhou, J. Shu, Achieving efficient
cloud search services: multi-keyword ranked search over
encrypted cloud data sup-porting parallel computing, IEICE
Transactions on Communications, vol. E98-B, no. 1, pp.190-
200, 2015.
[2] Y. Ren, J. Shen, J. Wang, J. Han, S. Lee, Mutual verifiable
provable data auditing in public cloud storage, Journal of
Internet Technology, vol. 16, no. 2, pp. 317-323, 2015.
[3] A. Marnerides, C. James, A. Schaeffer, S. Sait, A. Mauthe,
and H. Murthy, Multi-level network resilience: Traffic
analysis, anomaly detection and simulation, ICTACT Journal
on Communication Technology, Special Issue on Next
Generation Wireless Networks and Applications, vol. 2, pp.
345356, June 2011.
[4] M.Mambo, K. Usuda, E. Okamoto, Proxy signature for
delegating signing operation, CCS 1996, pp. 48C57, 1996.
[5] E. Zhou and Z. Li, An improved remote data possession
checking protocol in cloud storage, in Algorithms and
Architectures for Parallel Processing.
[6] H. Wang, Proxy provable data possession in public
clouds,• IEEE Transactions on Services Computing, vol. 6,
no. 4, pp. 551-559, 2013.

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