POS-originated transaction traces as a source of contextual information for risk management systems in EFT transactions

Albert Sitek , Zbigniew Kotulski


Transaction traces analysis is a key utility for marketing, trend monitoring, and fraud detection purposes. However, they can also be used for designing and verification of contextual risk management systems for card-present transactions. In this paper, we presented a novel approach to collect detailed transaction traces directly from payment terminal. Thanks to that, it is possible to analyze each transaction step precisely, including its frequency and timing. We also demonstrated our approach to analyze such data based on real-life experiment. Finally, we concluded this paper with important findings for designers of such a system.
Author Albert Sitek (FEIT / IT)
Albert Sitek,,
- The Institute of Telecommunications
, Zbigniew Kotulski (FEIT / IT)
Zbigniew Kotulski,,
- The Institute of Telecommunications
Journal seriesEURASIP Journal on Information Security, ISSN 1687-4161, e-ISSN 1687-417X, (0 pkt)
Issue year2018
Publication size in sheets0.75
Keywords in EnglishPayment transaction, Transaction traces, Traces analysis, Context, Contextual security, CVM
ASJC Classification1706 Computer Science Applications; 1711 Signal Processing
URL https://jis-eurasipjournals.springeropen.com/articles/10.1186/s13635-018-0076-9
projectThe Develpment of Digital Communicatios. Project leader: Siuzdak Jerzy, , Phone: +48 22 234-7868, start date 07-06-2017, end date 30-11-2018, IT/2017/statut, Completed
WEiTI Działalność statutowa
Languageen angielski
LicenseJournal (articles only); author's original; Uznanie Autorstwa (CC-BY); after publication
2018 Sitek Kotulski POS-originated transaction.pdf 3.86 MB
Score (nominal)5
ScoreMinisterial score = 0.0, 15-04-2019, ArticleFromJournal
Ministerial score (2013-2016) = 5.0, 15-04-2019, ArticleFromJournal - czasopismo zagraniczne spoza list
Publication indicators WoS Citations = 1; Scopus Citations = 2; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.844
Citation count*2 (2019-04-07)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.