Iaetsd future polling system using cloud computing in support with smart client technology

FUTURE POLLING SYSTEM USING CLOUD COMPUTING IN SUPPORT WITH
SMART CLIENT TECHNOLOGY
N.Arvind and C.Soorya
Department of Computer Science and Engineering
Sri Sairam Engineering College,Chennai, Anna University
arvind01996@gmail.com, soorya099@gmail.com
Abstract- The cloud computing has become
more popular these days. Cloud computing
is a computing paradigm in which tasks are
assigned to a combination of connections ,
software and services that can be accessed
over internet. This paper proposes the
usage of cloud computing in E-polling. The
main aim of this project is to avoid fake
votes in polling by having a cloud database
about the voters. Iris recognition of
candidates is used for authentication. A
candidate can vote at any place irrespective
of his polling booth and can vote through
mobile phones and computer. The cloud
computing relies on the internet.when the
internet connection fails it does not work
with mobile phone / computer .we have
introduced the smart client technology to
overcome this difficulty in mobile phones
and computers.
Keywords - Cloud Computing, Smart
Client, E-polling, Biometrics.
1.INTRODUCTION
Polling is a choice that is made by counting
the number of people in favor of each
alternative. Current polling system is not so
secure. The main aim of our system is to
provide high security internet polling. Our
system is implemented using cloud computing
and biometrics. Cloud computing is a
paradigm in which virtualized resource are
provided as a service over the internet to the
cloud user. Users need not have knowledge of,
expertise in or over technologies
infrastructure in the “cloud” that supports
them. Biometric identification refers to
identifying an individual based on his/her
distinguishing physiological or behavioral
characteristics. Our system uses iris
recognition as distinguishable factor. Cloud
computing refers to the next evolution of the
Internet. Instead of buying software, installing
it on your computer, upgrading it periodically
and storing all your data on your hard drive,
with cloud computing you use software
applications online, as a service. All you need
is your computing device and an Internet
connection. The cloud computing thus can be
used in polling system
2.EXISTING SYSTEM
The security level in existing voting system
is not up to the mark. As we do not have any
back up, consider the case of EVM (Electronic
Voting Machine)data reliability is not assured.
EVM is based on microcontroller on which
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the program and the memory can be protected
from external read, but that is very low level
security and chip centric. In case of chip
failure data loss occurs. In many voting
system the candidate are restricted to vote at
their respective places. Internet voting system
SERVE (Security Electronic Registration and
Voting Experiment) is found to be vulnerable
to denial of service attack and website
spooling .This can compromise the results.
Moreover there are a number of technical
issues, including authentication and validation
of the end-point, protecting the voting system
against the inevitable attempts by hostile
parties to disrupt the election, and ensuring
that the network is capable of handling traffic
storms if potentially millions of citizens cast
their E-ballots in a short period of time.
3.PROPOSED SYSTEM
Fig 1.cloud sturcture
In the proposed system the database
creation is done with the details of the
candidate along with iris recognition which
serve as the key for authentication (Biometric
Database).While casting vote the iris
recognition of candidate is being matched
with the existing database. If the match is
found candidate are allowed to caste their vote
,otherwise they are denied. This system
provides safe and secure polling. Cloud
provides a service for voting to all
authenticated user.
4.Biometric Authentication
Biometric data should be collected
from the voters as part of the election pre-
registration process. Database regarding the
candidates are managed with iris recognition
as primary key. While casting vote the iris
recognition of the candidate is matched with
the existing database if the match is found the
casted vote is considered otherwise discarded.
No candidate is recognized twice. In prior to
polling, biometric authentication can also be
used to check whether the candidate is eligible
for casting vote or not. Many notebook
computers include fingerprint readers. In the
near future, the mobile handset industry will
begin to embed some type of biometric
identification system into their devices.
Fig 3.Voting using cloud
5.CLOUD STORAGE
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In the cloud computing technology we
can store the details of the people along with
their iris recognition . The database creation is
done with the details of the candidate along
with iris recognition which serve as the key
for authentication (Biometric Database).While
casting vote the iris recognition of candidate
is being matched with the existing database. If
the match is found candidate are allowed to
caste their vote ,otherwise they are denied.
This system provides safe and secure polling.
Cloud provides a service for voting to all
authenticated user. The cloud computing
mainly works based only on the internet
facility. All your data is stored online, so you
don't have to worry about the capacity.
5.1Problem with cloud computing
The main problem with the cloud
computing is it requires an internet
connection. If the candidate want to vote at the
time where the internet connection is not
available it is impossible. So we have
introduced a smart client technology to
overcome this problem.
6. SMART CLIENT APPROACH
The term Smart Client was coined to highlight
the differences between the typical "Rich
Client" applications of yesteryear and the next
generation of client applications. To
understand these differences, and to
understand how they are likely to change the
face of client-side computing .The smart client
technology provides the following advantages:
6.1Utilizes Local Resources:
A smart client application always has the
ability on the client that enable local resources
to be utilized. What do we mean by local
resources? We mean everything from
hardware to software resources. A smart client
may take advantage of the local CPU, local
memory or disk, or any local devices
connected to the client.Thus it makes use of
the local resource.
6.2 Offline Capable:
Fig 4.Smart Client technology
Because they are running on the local
machine, one of the key benefits that smart
client applications offer is that they can be
made to work even when the user is not
connected. For applications running in
occasional or intermittent connectivity
situations, such as those used by traveling
workers or even those running on laptops,
tablets, PDA's, and so on, where connectivity
cannot be guaranteed at all times, being able
to work while disconnected is essential. Even
when the client is connected, the smart client
application can improve performance and
usability by caching data and managing the
connection in an intelligent way.
6.3Intelligent Install and Update:
smart client applications manage their
deployment and update in a much more
intelligent way than traditional rich client
applications. There are many frame work that
provides the smart client technology. It
enables application artifacts to be deployed
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using a variety of techniques, including simple
file copy or download over HTTP.
Applications can be updated while running
and can be deployed on demand by clicking
on a URL.
6.4Client Device Flexibility
This technology provides a common platform
upon which smart client applications can be
built. Often, there will be multiple versions of
the smart client application, each targeting a
specific device type and taking advantage of
the devices unique features and providing
functionality appropriate to its usage.
6.5Storing Candidate Biometric
information
We are storing the biometric information of
the candidate in the local database. The
biometric information which we have used is
the iris recognition . The main purpose of
using the local database in the server is to
store the data of the candidate and update
them in the cloud instantly with the main
server. There are many local servers available
across various polling booth .All of them have
been combined to form the cloud structure so
that they can share the resources. The storage
in the cloud has the several features to be
discussed. The main advantage of using the
cloud computing storage is listed below
6.6Simple Scalability:
In addition to bringing processing to the data,
the next-generation cloud storage scales
simply. Cloud storage requires a high degree
of automation with self-management, self-
configuration and self-healing, all orchestrated
through high-level policies specified by the
storage administrator. Next generation storage
provides administrators flexibility and control.
As the cloud grows, additional nodes are able
to service the data requests in parallel. If
administrators require more performance, they
can add a processing node. If they need more
capacity, they can add disks. Each can be
added independently or scaled simultaneously.
The another advantage of using cloud is you
have to pay for what you are using.
7.ENSURING DATA STORAGE IN
CLOUD COMPUTING
Cloud computing security sometimes
referred to simply as "cloud security" is an
evolving sub-domain of computer security,
network security, and, more broadly,
information security. It refers to a broad set of
policies, technologies, and controls deployed
to protect data, applications, and the
associated infrastructure of cloud
computing.There are a number of security
issues associated with cloud computing but
these issues fall into two broad categories:
Security issues for the polling system and
security of the candidate biometric
authentication.
7.1Data Protection:
To be considered protected, data from
one candidate must be properly protected, it
must be stored securely when “at rest” and it
must be able to move securely from one
location to
Fig 5.Security Aspect in cloud
another. Cloud providers have systems in
place to prevent data leaks or access by third
parties. Proper separation of duties should
ensure that auditing and/or monitoring cannot
be defeated, even by privileged users at the
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cloud provider. Providers ensure that physical
machines are adequately secure and that
access to these machines as well as all
relevant customer data is not only restricted
but that access is documented. All the attacks
has to be prevented in the cloud computing.
Finally, providers ensure that all critical data
(iris recognition ) are masked digital
identities and credentials must be protected as
should any data that the provider collects or
produces about customer activity in the cloud.
8.VOTING THROUGH MOBILE
PHONES
Since we are using the cloud
computing technology,many devives can be
grouped in the cloud including PC, Mac or
smartphone.here we use the local database to
store the information of the thumb impression
when the internet connection is failed.when
the internet connection is available,it can send
the data to the main server.if the internet
connection is available directly it can send the
candidate information directly to the
server.thus in our system we vote at the
polling booth at any place and also through
other devices.
8.1Cloud-Computing to Address Voting
Storms
There is the question of how to build E-
voting systems that could sustain “voting
storms" of millions of connections. Cloud
computing technology could be used to handle
this issue. Instead of building a dedicated data
center to process these one-time transactions,
the infrastructure should be built through the
cloud-computing model to allow for real-time
on-demand availability of the necessary
additional resources through the cloud.
Election authorities in one state might use the
secure computing facilities in another to
handle the bursts of traffic they experience at
a particular hour of the day. The ability of
global application delivery through the cloud
would be critical to ensure efficiency and
performance in the event of “voting storms”
on the network.
Advantages of Proposed System Over
Existing one
As Authentication is based on
Biometrics, our system is fake proof. In the
existing system, candidates are restricted to
vote in their residential area whereas in our
approach candidate are free to caste their vote
at all places irrespective of their residence.
Data backup is present unlike the EVM, where
if one device fails all data will be lost.
Because the software is online, you don't need
as powerful a computer to run the
application.There's no need to buy and update
software. Use the application you need. All
your data is stored online, so you don't have to
worry about the capacity of your hard
drive.You can access the applications and
your files from anywhere.so you can vote any
place where you are staying at that particular
time. Cloud computing has everything online
fosters collaboration. Whether you use a PC,
Mac or smartphone, applications will run and
you can open and share files.these are some of
the advantages over the existing technology.
9.CONCLUSION
Some countries and states will probably
move ahead with this voting systems
quickly.The advancement of biometric
databases, point-to-point security for both the
end-user and the network, and on-demand
application delivery solutions via the cloud
and regulatory controls would play a pivotal
role in this next-generation technology
definitely. Thus we have implemented the
cloud computing technology for the purpose
of voting .By implementing this the candidate
can vote at any polling booth irrespective of
his booth, Since all the polling booth are
combined to form the cloud structure and also
he can also vote through his mobile phone
with the support of smart client technology.
10.REFERENCES
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[1]. Anil K. Jain, “An Identity-Authentication
System Using Fingerprints”, Proceedings of
the IEEE, Vol. 85, No. 9, pp 1365 – 1387,
September 1997.
[2]. Michael Miller, “Cloud Computing- A
Web Based Applications That Change the
Way You Work and Collaborate Online”,
ISBN-13: 978-0-7897-3803-5, ISBN-100-
7897-3803-1,
August 2008.
[3].Mr. Aviv, "All IP- national carrier network
based on wireless access technologies”,
Converge , November 04, 2008.
[4].B. Miller, “Everything you need to know
about automated Biometric identiﬁcation”
Security Technol. Design, Apr.1997.
[5]Wenmoth, D. (2008) Education in the age
of cloud computing.
Advanced Networks, Virtualisation, cloud
computing, emergingtechnologies, networks
and learning.
[6]. M. Bacca, K. Rabuzin: “Biometrics in
Network Security”, The Proceedings of the
XXVIII International Convention MIPRO
2005, Rijeka, Croatia.
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