ABSTRACT records related to the user’s health. It can



data 1 is an information asset that has attracted attention of many
researchers and practitioners in many sectors. It characterizes 3 V’s such as
Volume, Velocity and Variety. Big data analytics process the high voluminous data
to make more informed business patterns. This project mainly concerns for
banking, hospital, passport and ration card details integrated into a single
card i.e., Smart card. For banking sector, it is used particularly for debit or
ATM card for transaction of money. Users can create and get accounts from the
respective banks. A user can integrate all the bank accounts from other banks
in a single card with unique pin number. User can also integrate multiple
user’s account into a single card. Parent user can set a withdrawal limit. Different
methodologies are used for  limiting the
withdrawal from other user’s account . The withdrawal amount from other user’s
account which is integrated into this card cannot be transacted without the
knowledge of the concerned user. Noise tolerance46 is used for minimizing
the risk involved during the transactions for better security purpose. Radio
Frequency Identifier(RFID)2  is used
for user identification number for banking, passport, ration and hospital applications.
On every transaction, One Time Password(OTP) will be verified for withdrawal of
money and formula based authentication is used for verification of withdrawal
money limitation. User behaviour is monitored using the Hidden Markov
Model(HMM) and the user can set up a formula based authentication by this
behaviour . This formula is generated using arithmetic operators by numbers and
alphabets as key. The alphabets will be sent to the main user’s contact. The
operators and numbers for corresponding alphabets will be generated
automatically in random. User can use this smart card for getting medical
reports from the hospitals and it is feasible for the users to access all the
previous medical records related to the user’s health. It can help the patient
to get diagnosed from different hospitals by easily accessing those records
from the smart card. This card can also be used in passport for registering the
travel details and maintains the records of all the travel details of the user.
 The ration card can also be integrated
into this smart card to maintain the things bought from the ration store. Cloud
services3 are used for storing different data and gives user a easy way of
accessing the resources according to their needs. In fact, optimizing the order
5 can avoid deteriorating  the
performance of system, such as increase in total cost, or drop in fill rate, of
the whole system.

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Cloud services, Radio Frequency Identifier(RFID), One Time Password(OTP),
Hidden Markov Model(HMM).








To integrate multiple
accounts into one single card

To integrate family
members accounts into a single card

To integrate Passport,
Ration card, medical details as a smart card



There is no
RFID technology

Security is

Every user
having individual card in family

Behaviour of  the users are not monitored














•      User registration

•      Bank server

•      Multi user / multi bank

•      Formula based authentication

•      Hospital  server

•      Ration card server



Processor         :         Core i3/i5/i7

RAM          :         2-4GB

HDD           :         500

Fabrication Kit



Platform     :         Windows Xp/7/8

End   : 
       Java – JDK1.7

End              :         MYSQL,
Embedded C

Data     :         Apache Hadoop – 2.5.1



1. Tsan-Ming Choi, Hing Kai Chan, and Xiaohang Yue , (2016)
, “Recent Development in Big Data Analytics for Business Operations and Risk
Management”, IEEE Transactions on Cybernetics, vol. 47, no. 1


2. Gary M. Gaukler, (2010), ” Item-Level RFID in a Retail Supply Chain

Stock-Out-Based Substitution”, IEEE Transactions on
Industrial Informatics, vol. 7, no. 2


3. Olatunde A. Durowoju, Hing Kai Chan and
Xiaojun Wang, (2011), “The impact of Security and Scalability of Cloud Services
on Supply Chain Performance”, Journal of Electronic Commerce Research, vol. 12, no. 4


4 . kannan Govindan, Ahmad
Jafarian, Mostafa E. Azbari and Tsan-Ming Choi, (2015), “Optimal Bi-Objective
Redundancy Allocation for System Reliability and Risk Management”, IEEE Transactions on Cybernetics

5. Hing Kai Chan and Felix T.
S. Chan, (2006), “Early Order Completion Contract Approach to Minimize the
Impact of Demand Uncertainty on Supply Chains”, IEEE Transactions on Industrial
Informatics, vol. 2, no. 1


6. Naresh Manwani and P. S.
Sastry, (2013), “Technical Correspondence – Noise Tolerance Under Risk
Minimization “, IEEE Transactions on Cybernetics
vol. 43, no. 3


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