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REAL TIME SECURE CLICKBAIT AND BIOMETRIC ATM USER AUTHENTICATION AND MULTIPLE BANK TRANSACTION SYSTEM

ABINAYA P, ARUNA DEVI S , MYTHILI S , SHIVANI P, MRS.R.BHUVANESWARI,M.E.,(Ph.D)
CSE & Selvam College Of Technology

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Abstract -   ATM or Computerized Teller Machines are generally utilized by individuals these days. Performing cash withdrawal exchange with ATM is expanding step by step. ATM is vital gadget all through the world. Secured ATM transaction were made with the use of 4 digit unique code called PIN(personal Identification Number).The method of transaction liable to suffer with the possibilities of fraudulent activities like phishing attack. This Proposes An Automatic Teller Machine Security Model That Uses Electronic Facial Recognition Using Deep Convolutional Neural Network (DCNN) .The advantages can be found as that face id unique for everybody. Face verification click bait link will be generated and sent to the registered number to verify the unauthorized user through some artificial intelligence, for remote verification .However, it obvious that customer’s biometric features cannot be replicated, this application will go a long way to solve the problem to account safety making it possible for the actual owner alone have access to his accounts. This application eliminated the possibility of fraud resulting from ATM card theft and copying.

Keywords: ATM ,Click Bait, PIN.