A framework for anomaly pattern recognition in electronic financial transaction using moving average method

Ae Chan Kim, Won Hyung Park, Dong Hoon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, security incidents of financial IT services and internet banking hacking against the financial companies have occurred continuously, resulting in a loss of the financial IT systems. Accordingly, this paper based on 'framework standards of financial transaction detection and response' was designed to propose of anomaly Electronic Financial Transaction (EFT) pattern recognition and response for the method to detect anomaly prior behaviors and transaction patterns of users. It was applied to moving average based on the statistical basis.

Original languageEnglish
Title of host publicationIT Convergence and Security 2012
Pages93-99
Number of pages7
DOIs
Publication statusPublished - 2013 Feb 26
EventInternational Conference on IT Convergence and Security, ICITCS 2012 - Pyeong Chang, Korea, Republic of
Duration: 2012 Dec 52012 Dec 7

Publication series

NameLecture Notes in Electrical Engineering
Volume215 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

OtherInternational Conference on IT Convergence and Security, ICITCS 2012
CountryKorea, Republic of
CityPyeong Chang
Period12/12/512/12/7

Keywords

  • Electronic financial transaction
  • Moving average
  • Pattern recognition

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Kim, A. C., Park, W. H., & Lee, D. H. (2013). A framework for anomaly pattern recognition in electronic financial transaction using moving average method. In IT Convergence and Security 2012 (pp. 93-99). (Lecture Notes in Electrical Engineering; Vol. 215 LNEE). https://doi.org/10.1007/978-94-007-5860-5_12