• DocumentCode
    3341877
  • Title

    An efficient Iris authentication using chaos theory-based cryptography for e-commerce transactions

  • Author

    Rahimi, A. ; Mohammadi, S. ; Rahimi, R.

  • Author_Institution
    Middle East Tech. Univ., Ankara, Turkey
  • fYear
    2009
  • fDate
    9-12 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    E-commerce is an outcome of globalization and technology outbreak of 21st century. Increasingly, more products and services are sold over Internet; hence, there is a growing need for a combination of legislation and technical solutions to globally secure customer privacy. Credit card fraud is one of the crimes especially when it is used for Web-based transaction. In this paper, a technical solution using Iris authentication technique is proposed for protecting identity theft in e-commerce transactions because Iris patterns are unique to an individual. Further, this research proposes authentication of e-commerce users by using Iris biometric technique as one of the most secure biometric algorithms. Therefore, this research proposes a Web-based architecture which uses a combination of image processing and secure transmission of customers´ Iris templates along with credit card details for decreasing credit card frauds over Internet.
  • Keywords
    Internet; cryptography; electronic commerce; iris recognition; Internet; Web-based architecture; Web-based transaction; chaos theory; credit card fraud; cryptography; customer privacy; e-commerce transactions; image processing; iris authentication; iris biometric technique; iris patterns; iris templates; secure biometric algorithm; Authentication; Biometrics; Chaos; Credit cards; Cryptography; Globalization; Iris; Legislation; Privacy; Web and internet services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Secured Transactions, 2009. ICITST 2009. International Conference for
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-5647-5
  • Type

    conf

  • DOI
    10.1109/ICITST.2009.5402532
  • Filename
    5402532