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Cardholder’s Reputation System for Contextual Risk Management in Payment Transactions

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Computer Network Security (MMM-ACNS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10446))

Abstract

Electronic card payments gained huge popularity mainly because of their simplicity, convenience and processing time. Unfortunately transaction processing rules are constant for every transaction, for example each transaction above some hard limit (50 PLN in Poland) must be authorized with PIN verification. One can notice that such an approach is simple, but is not optimal: that is why Contextual Risk Management systems for payment transactions started to be created. This paper presents a new Cardholder’s Reputation System that can be used in Contextual Risk Management Systems. It is flexible thanks to a few parameters and allows to cover all possible transaction processes.

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Author information

Authors and Affiliations

  1. Institute of Telecommunications of WUT, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Albert Sitek & Zbigniew Kotulski

Authors
  1. Albert Sitek
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  2. Zbigniew Kotulski
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Corresponding author

Correspondence to Albert Sitek .

Editor information

Editors and Affiliations

  1. Gdansk University of Technology , Gdansk, Poland

    Jacek Rak

  2. Binghamton University , Binghamton, New York, USA

    John Bay

  3. St. Petersburg Institute for Informatics and Automation, St. Petersburg, Russia

    Igor Kotenko

  4. Utica College , Utica, New York, USA

    Leonard Popyack

  5. Binghamton University , Binghamton, New York, USA

    Victor Skormin

  6. Warsaw University of Technology , Warsaw, Poland

    Krzysztof Szczypiorski

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Sitek, A., Kotulski, Z. (2017). Cardholder’s Reputation System for Contextual Risk Management in Payment Transactions. In: Rak, J., Bay, J., Kotenko, I., Popyack, L., Skormin, V., Szczypiorski, K. (eds) Computer Network Security. MMM-ACNS 2017. Lecture Notes in Computer Science(), vol 10446. Springer, Cham. https://doi.org/10.1007/978-3-319-65127-9_13

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  • DOI: https://doi.org/10.1007/978-3-319-65127-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65126-2

  • Online ISBN: 978-3-319-65127-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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