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Integrating geolocation into electronic finance applications for additional security

Author

Listed:
  • Kevin Curran
  • Jonathan Orr

Abstract

People are increasingly using the web to conduct business. It is, therefore, important that users of services such as online banking have confidence in such services. Frameworks such as Google Gears now have the ability to determine the physical location of a person in real time. This geographical information can be very useful in e-finance applications. If we know the geographical location of a computer performing a particular transaction, then we can ascertain whether unusual requests are being performed. This paper presents a prototype Geolocation enabled e-finance prototype to illustrate the benefits of monitoring geographical location of users. The application was developed to block locations with high levels of online fraud.

Suggested Citation

  • Kevin Curran & Jonathan Orr, 2011. "Integrating geolocation into electronic finance applications for additional security," International Journal of Electronic Finance, Inderscience Enterprises Ltd, vol. 5(3), pages 272-285.
    • Handle: RePEc:ids:ijelfi:v:5:y:2011:i:3:p:272-285
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    Cited by:

    1. Salihu, Armend & Shehu, Visar, 2020. "A Review of Algorithms for Credit Risk Analysis," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2020), Virtual Conference, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Virtual Conference, 10-12 September 2020, pages 134-146, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.

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