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Implementation of Multifactor based Authentication Scheme for Enhanced ATM Security

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Macarthy O-Genseleke, Osuigbo Ebenezer N., Chioma Chigozie-Okwum
10.5120/ijca2018917400

Macarthy O-Genseleke, Osuigbo Ebenezer N. and Chioma Chigozie-Okwum. Implementation of Multifactor based Authentication Scheme for Enhanced ATM Security. International Journal of Computer Applications 181(1):48-51, July 2018. BibTeX

@article{10.5120/ijca2018917400,
	author = {Macarthy O-Genseleke and Osuigbo Ebenezer N. and Chioma Chigozie-Okwum},
	title = {Implementation of Multifactor based Authentication Scheme for Enhanced ATM Security},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2018},
	volume = {181},
	number = {1},
	month = {Jul},
	year = {2018},
	issn = {0975-8887},
	pages = {48-51},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume181/number1/29684-2018917400},
	doi = {10.5120/ijca2018917400},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

The main objective of this work is to develop an authentication scheme that will enhance ATM security using multifactor based authentication scheme, which combines Biometric Fingerprint, PIN and QR-Code authentication. In these system, Bankers will collect the customers finger print and mobile number while opening the accounts then customer only accesses ATM machine. The working of this ATM machine is when customer places finger on the finger print module when its access automatically generates every time different 4-digit code as a message to the mobile of the authorized customer through GSM modem connected to the microcontroller. The code received by the customer should be entered by pressing the keys on the screen. After entering it checks whether it is a valid one or not and allows the customer further access.

References

  1. S.S. Das, and J. Debbarma, “Designing a Biometric Strategy (Fingerprint) Measure for Enhancing ATM Security in Indian E-banking System,” International Journal of Information and Communication Technology Research (IJRCTR), Volume 6, Issue 12, December 2011.
  2. W.W.N. Wan, C.L. Luk, and C.W.C. Chow, “Customers Adoption of Banking Channels in Hong Kong,” International Journal of Bank Marketing (IJBM), Volume 41, Issues 5, May 2005.
  3. B. Richard, and M. Alemayehu, “Developing E-banking Capabilities in a Ghanaian Bank: Preliminary Lessons.” Journal of Internet Banking and Commerce, Volume 12, Issue 3, March 2006.
  4. P.K. Amurthy, and M.S. Reddy, “Implementation of ATM Security by Using Fingerprint recognition and GSM.” International Journal of Electronics Communication and Computer Engineering, Volume 20, Isssue 4, pp. 83-86, April 2012.
  5. N.K. Ratha, J.H. Connell, and R.M. Bolle, “Generating Cancellable Fingerprint Templates.” IEEE Transaction on Pattern Analysis and Machine Intelligence, Volume 31, Issue 2, pp. 4, February 2007.
  6. Ojekudo Nathaniel and Macarthy Osuo-Genseleke “A Comparative Study of PIN Based and Three-factor Based Authentication Technique for Improved ATM Security.” International Research Journal of Engineering and Technology. Volume 5, Issue 5, pp. 3749-3754, May 2018.

Keywords

ATM-MAS, QR-Code, Fingerprint,