Prevention Of Atm Fraud Using F Pin (Publication)

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  • 1.  Prevention of ATM Fraud Using Fingerprints and F-PIN
    Published in Proceedings of the International Conference on Security and Management (SAM). The World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOM), Las Vegas, Nevada, July 13-16, 2009 (Acceptance rate: 26%)
  • 2. Summary
    ATM Machines are prone to many risks
    Biometrics in theory is a good way of securing ATM Machines
    Many problems of biometrics
    Our solutions
  • 3. Problems Faced
    • Password/Token Based Authentication Drawbacks
    • 4. Skimming
    • 5. Card Stealing
    • 6. Fake PIN keypad
    • 7. PIN interceptions
    • 8. Fake Presenters
    • 9. Biometric based Authentication Drawbacks
    • 10. Replacing Stolen Biometrics
    • 11. Genetic hindrance
    • 12. Worn out prints
    • 13. Fake samples
    • 14. Inaccurate
    • 15. Privacy issues
  • Solutions
    Elimination of fallibility of the PIN code
    Use of Fingerprint and PIN as a two-factor authentication
    Problems of stolen biometrics
    Cancelable Biometrics allows re-use of same biometric template
    Vitality Detection counters the use of “fake” biometric samples by checking if the sample is “alive”
    Genetic problems
    Genetic Algorithms
  • 16. What is F-PIN?
    A new and revolutionary method of replacing number based PIN keypad with a fingerprint based keypad
    F-PIN is more of a sequence of finger-presses than a code of numbers
    Each finger is analogous to number from 1-5
    After the fingerprint is scanned, pressing down on each finger contour relays pressing of a number
  • 17.
    • F-PIN here is the sequence of: Ring Finger, Thumb, Small Finger, Index Finger, Middle Finger
    • 18. If each finger can theoretically be represented by a number from 1-5
    • 19. Then the F-PIN sequence will correspond to the code: 41523
    • 20. F-PIN can also have multiple presses of the same finger in different sequences
    F-PIN Explained with an Example
  • 21. Proposed Approach
  • 22. Results
    Problems Solved
    Traditional PIN stealing
    Replacing biometrics
    Prevention against fake fingerprint method
    Ageing problems
  • 23. Suggestions/Recommendations
    Research to make biometrics more accurate
    Regulations to address privacy issues
    Research to make biometrics cheaper
  • 24. Conclusion
    Biometrics can help to make ATM machines more secure and reduce ATM scams
    There are enough materials present to challenge the common problems of biometrics
    Proposed method has to be tested for it’s faults and efficiency.