ABSTRACT the Hidden Markov Model(HMM) and the user can

                                      ABSTRACT               Bigdata 1 is an information asset that has attracted attention of manyresearchers and practitioners in many sectors. It characterizes 3 V’s such asVolume, Velocity and Variety. Big data analytics process the high voluminous datato make more informed business patterns.

This project mainly concerns forbanking, hospital, passport and ration card details integrated into a singlecard i.e., Smart card. For banking sector, it is used particularly for debit orATM card for transaction of money. Users can create and get accounts from therespective banks. A user can integrate all the bank accounts from other banksin a single card with unique pin number.

User can also integrate multipleuser’s account into a single card. Parent user can set a withdrawal limit. Differentmethodologies are used for  limiting thewithdrawal from other user’s account . The withdrawal amount from other user’saccount which is integrated into this card cannot be transacted without theknowledge of the concerned user.

Noise tolerance46 is used for minimizingthe risk involved during the transactions for better security purpose. RadioFrequency Identifier(RFID)2  is usedfor user identification number for banking, passport, ration and hospital applications.On every transaction, One Time Password(OTP) will be verified for withdrawal ofmoney and formula based authentication is used for verification of withdrawalmoney limitation. User behaviour is monitored using the Hidden MarkovModel(HMM) and the user can set up a formula based authentication by thisbehaviour .

This formula is generated using arithmetic operators by numbers andalphabets as key. The alphabets will be sent to the main user’s contact. Theoperators and numbers for corresponding alphabets will be generatedautomatically in random. User can use this smart card for getting medicalreports from the hospitals and it is feasible for the users to access all theprevious medical records related to the user’s health. It can help the patientto get diagnosed from different hospitals by easily accessing those recordsfrom the smart card.

This card can also be used in passport for registering thetravel details and maintains the records of all the travel details of the user. The ration card can also be integratedinto this smart card to maintain the things bought from the ration store. Cloudservices3 are used for storing different data and gives user a easy way ofaccessing the resources according to their needs. In fact, optimizing the order5 can avoid deteriorating  theperformance of system, such as increase in total cost, or drop in fill rate, ofthe whole system.Keywords:Cloud services, Radio Frequency Identifier(RFID), One Time Password(OTP),Hidden Markov Model(HMM).

      OBJECTIVE·      To integrate multipleaccounts into one single card·      To integrate familymembers accounts into a single card·      To integrate Passport,Ration card, medical details as a smart card  CHALLENGES OF EXISTING SYSTEM·       There is noRFID technology·       Security isless·       Every userhaving individual card in family·       Behaviour of  the users are not monitored          ARCHITECTURE DIAGRAM MODULES•      User registration•      Bank server•      Multi user / multi bank•      Formula based authentication•      Hospital  server•      Ration card serverHARDWAREAND SOFTWARE REQUIREMENTSHardwareRequirements Processor         :         Core i3/i5/i7RAM          :         2-4GBHDD           :         500GBEmbeddedFabrication Kit  SoftwareRequirements Platform     :         Windows Xp/7/8FrontEnd   :        Java – JDK1.7 BackEnd              :         MYSQL,Embedded CBigData     :         Apache Hadoop – 2.5.1 REFERENCES1. Tsan-Ming Choi, Hing Kai Chan, and Xiaohang Yue , (2016), “Recent Development in Big Data Analytics for Business Operations and RiskManagement”, IEEE Transactions on Cybernetics, vol.

47, no. 1 2. Gary M. Gaukler, (2010), ” Item-Level RFID in a Retail Supply ChainWithStock-Out-Based Substitution”, IEEE Transactions onIndustrial Informatics, vol. 7, no. 2 3.

Olatunde A. Durowoju, Hing Kai Chan andXiaojun Wang, (2011), “The impact of Security and Scalability of Cloud Serviceson Supply Chain Performance”, Journal of Electronic Commerce Research, vol. 12, no. 4 4 . kannan Govindan, AhmadJafarian, Mostafa E. Azbari and Tsan-Ming Choi, (2015), “Optimal Bi-ObjectiveRedundancy Allocation for System Reliability and Risk Management”, IEEE Transactions on Cybernetics5. Hing Kai Chan and Felix T.

S. Chan, (2006), “Early Order Completion Contract Approach to Minimize theImpact of Demand Uncertainty on Supply Chains”, IEEE Transactions on IndustrialInformatics, vol. 2, no. 1 6. Naresh Manwani and P. S.

Sastry, (2013), “Technical Correspondence – Noise Tolerance Under RiskMinimization “, IEEE Transactions on Cyberneticsvol. 43, no. 3