IRJET- Improving Data Storage Security and Performance in Cloud Environment

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3025
Improving Data Storage Security and Performance In Cloud
Environment
Snehal A. Ghogare1, Prof. Varshapriya J. N2
1M.Tech Student, Dept of Computer Engineering and IT, VJTI College, Mumbai, Maharashtra, India
2 Associate Professor, Dept of Computer Engineering and IT, VJTI College, Mumbai, Maharashtra, India
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Abstract - A Most of the existing cloud storageplatformsdo
not provide a complete implementation of all security
components as well as the performance of system degrades
under high concurrent pressure and large-scale environment.
Compared to boot from localdisks, bootingfromvolumesoften
lead to failure, those are largely due to the low performanceof
Cinder. Database, threading model, deployment architecture
and other factors will affect the performance ofcinderlargely.
Under certain conditions all of these can become a
performance bottleneck. We will provide a layer of security to
storage systems by extending the OpenStack cloud computing
stack to support heterogeneous architectures and
accelerators, distributing the storage to each cloudinorder to
help everyone to be more convenient to use cinder. Our
middleware split a file according to the computing capability
of node, being uploaded into segments, encrypting them and
then upload each segment to each backend cloud storage.
When user want to download a file, system again recreate the
original uploaded file and allow downloading it.
Key Words: Cloud Storage, Data security, Openstack
Cinder, Compute, Storage, Authentication.
1. INTRODUCTION
Cloud Service Provider(CSP) is responsible for maintaining
and monitoring the out sourced data. Cloud is a public
environment where there are many possibilities to attack
the data. Data outsourcing brings securityissuesinthecloud
while move to storage. Once the data is outsourced to the
cloud, CSP is only responsible for maintaining, monitoring
and controlling the data.Nowa daysmanyorganizations and
enterprises have started to outsource their data to cloud.
Cloud is a public environment where there are lots of
possibilities to attack the user data. Security is the highest
concern in the cloud environment. Outsourced data to the
cloud are kept by third party CSP. In this situation, data may
be attacked from inside as well as outside the cloud. Data
security is ensured by security parameters such as
confidentiality,integrityand availability.Thispaperpresents
a middleware-oriented framework that integrates different
IaaS Storage Clouds. Based on the registered users access
token, the middleware does the authentication withtheIaaS
cloud frameworks. The middleware relies on a service level
manager which decides how to split a file beinguploaded, its
encryption and decryption followed by merger for
download. The evaluation of the framework shows high
improvement in the security as we are distributing the
storage as per the computing capability of node and also
encrypting the data.
In the proposed system, the issue of progressing files to a
different user through storage servers is completely under
the command of the data owner. The data owneruploads the
file which is in turn encrypted and stored in the server. The
distributed storage system consists of distributed storage
servers and key servers. These key servers are extremely
secured by security techniques and performance of system
will be improved as the data is distributed according to the
computing capability of node so that retrieval time will be
minimium.
In the existing cloud storage system, digital data is stored in
logical pools, the physical storage contains multiple servers
or locations, and the hosting company manages physical
environment. Storage capacity is given on lease to people
and organizations for the storage of different type of data.
Cloud storage services are accessible via web services (API)
or by applications that utilize the API. Amazon Web Services
introduced their cloud storage service. AWSS3isa oneof the
first cloud storage supplier.
Other cloud storage services arepopularserviceslikeGoogle
Drive, Google Cloud Platform, Smugmug, Dropbox, Box and
OneDrive. Cloud storage is based on highly virtualized
infrastructure. It is a multitenant system with multiple
storage devices inside. The storage cloud is built from low
cost components for ensuring reliability in thesoftware,and
building advanced functionality on top of this foundation.
2. RELATED WORK
Some open sourceplatformssuchasSwift(OpenStackcloud),
Walrus (Eucalyptus cloud), and Cumulus (Nimbus cloud)are
used to analyze the security blocks for the cloud storage
platforms. Table 1 explains the security components
summary of the instantiations of every platform.
Authentication and authorization components provide a
adequate security level. Users can make use of different
accesscredentialmechanisms(e.g.passwords,certificates)to
access the data. In Amazon S3 platform, it provide an Access
Control List (ACL) mechanism where owners can assign
policies to specific customers, groups and data
containers(data bucket). Note, however, that there is still
room for improvement in these components. OpenStack
provides a manageable interface to cover area of the

authentication andauthorization mechanisms with out need
to modify the whole platform. In some caes, ACLs are
deficient to fully catch the enterprise environment’s
complexity. Approaches such as Role-base Access Control
(RBAC) might be integrated.[4][6]
Table -1: Summary of Security components of existing
cloud storage platforms.
Finally, there are various components that are not hold up in
most platforms. For instance, existing device
authentication/authorization and secure communications
components are designed to protect the communications
between cloud entities, but they are not used to protect the
communications inside the storage subsystem. There is no
direct support for storing the credentials in secure and
tamper-resistant containers. As for data protection, no
platform provides mechanisms that implement data-at-rest
encryption. With the exception case of Nimbus platform and
(partially ) OpenStack platform, it isimpossibletoimplement
specific plugins that provide additional extended services
such as proof of storage services.[4][7]
3. PROPOSED METHOD
In the proposed system,authentication is to bechecked inan
openstack inorder to make only an authenticated user to
access the instances created in the cloud. Following are the
proposed steps for block encryption
1. Nova API call for volume mount
2. Intercept call and mount volume as a block device to
virtualization host.
3. Get Key via a SSL/ TLS connection.
4.Loop and dm-crypt block device
5. Update VM Config for block devices
6. Create VM and start it.
Fig -1: Proposed System architecture
4.EXPERIMENT,EVALUATIONANDDISCUSSION
4.1 Openstack block storage:
IRJET Instances use an empemeral volume by default. This
kind of volume does not save the changes made on it and
reverts to its original state when the current user give away
control. One of the methods for storing data permanently in
openstack cloud is the cinder block storage service.
Openstack block storage service consists of four services-
 Cinder api
 Cinder scheduler
 Cinder volume
 Cinder backup
Cinder api
API service provides anHTTPendpointforAPIrequests.Two
versions of API are supported and required for the cloud. So
Cinder provides six endpoints. The cinder-api verifies the
identity requirements for an incoming requestandafterthat
routes them to the cinder-volume for action through the
message broker.
Cinder scheduler
Scheduler service reads requests from the message queue
and selects the optimal storage provider node to create or
manage the volume.
Cinder volume
The service works with a storage back end through the
drivers. The cinder volume gets requests from the
scheduler and responds to read and write requests sent to
block storage service to maintain state.
Cinder Backup
We can use several back ends at the same time. For each
back end you need one or more dedicated cinder volume

service cinder backup. The backup service works with the
backup backend through the driver architecture.
4.2 Factors that lead to poor performance:
We analyse the deployment architecture andfindthefactors
that lead to poor performance.
Fig -2: Deployment architecture of cinder block storage
Following are the factors that lead to poor performance-
1. HA Proxy report error
2. The number of cinder api workers
 Cinder api takes longertime toprocesseachrequest
under high concurrency pressure.
 Database connection driver is implemented beyond
eventlet's monkeypatching, blockingdatabasecalls
with block eventlet thread
3. Cinder volume has more serious performance issues
 very heavy workload
 create volume
 initialize connection
 Cannot consume message timly from MQ
 Takes a longer time to process each request
4. Storage driver
If the ICSI target information is not stored in a separate file
on creation, even a node reboot, your existing volumes on
that node will be restored automatically.
5. RBD Rados call may block cinder-volume
 rbd and rados liberty are not patched by eventlet
 long running tasks block eventlet loop
 cinder volume becomes a zombie process
5. CONCLUSION
This paper shows how to implement an encrypted cloud
storage system on the basis of OpenStack Cinder,andhow to
increase the security and performance by analyzing the
deployment architecture of cinder. The compatibilityofthis
system allows it to be deployed in existing storage systems
which uses Cinder as storage technology and provide cinder
APIs and Keystone APIs without modifying those existing
systems.
REFERENCES
[1] R. Nivedhaa and J. Jean Justus, "A Secure Erasure Cloud
Storage system using Advanced Encryption Standard
algorithm and Proxy Re-encryption", IEEE Conference
on Communication and Signal Processing (ICCSP) April,
2018.
[2] B. Fathima Mary, George Amalarethinam,"Data Security
Enhancement in Public Cloud Storage using Data
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data storage 2017.
[3] Bin Feng, Cheng Guo, “An Efficient Protocol with
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Computing”, IEEE transaction on cloud computing May,
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[4] Roman, R., Felipe, M., Gene, P. and Zhou, “Complying
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[5] N.Saranya, S.Nivedha, “Implementing Authentication in
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[6] Pragya Jain, Aparna Datt, S.C. Gupta, “Cloud Service
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[7] Peidong Sha , Zhixiang Zhu," The modification of RSA
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[8] H. Li, Y. Yang, T. H. Luan, X. Liang, L. Zhou, and X. Shen,
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[9] Sandeep Nehe, Prof. M.B. Vaidya, “Data Security using
Data slicing over storage clouds”, International
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[10] L S Girish, Dr. H. S. Guruprasad, “Building Private Cloud
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Storage Services in Cloud Computing”, International
Conference on Current Trends in Engineering and
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[12] S. Suganya, P. Damodharan, “Enhancing Security for
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Conference on Current Trends in Engineering and
Technology, ICCTET, 2013.
[13] C. Cachin, I. Keidar, and A. Shraer, "Trusting the cloud,"
ACM STGACT News, vol. 40, no. 2, p. 81, 2009.

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