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

Ae Chan Kim; Won Hyung Park; Dong Hoon Lee

doi:10.1007/978-94-007-5860-5_12

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

Ae Chan Kim, Won Hyung Park, Dong Hoon Lee

School of Cybersecurity

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	IT Convergence and Security 2012
Pages	93-99
Number of pages	7
DOIs	https://doi.org/10.1007/978-94-007-5860-5_12
Publication status	Published - 2013
Event	International Conference on IT Convergence and Security, ICITCS 2012 - Pyeong Chang, Korea, Republic of Duration: 2012 Dec 5 → 2012 Dec 7

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	215 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Other

Other	International Conference on IT Convergence and Security, ICITCS 2012
Country/Territory	Korea, Republic of
City	Pyeong Chang
Period	12/12/5 → 12/12/7

Keywords

Electronic financial transaction
Moving average
Pattern recognition

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-94-007-5860-5_12

Cite this

Kim, AC, Park, WH & Lee, DH 2013, A framework for anomaly pattern recognition in electronic financial transaction using moving average method. in IT Convergence and Security 2012. Lecture Notes in Electrical Engineering, vol. 215 LNEE, pp. 93-99, International Conference on IT Convergence and Security, ICITCS 2012, Pyeong Chang, Korea, Republic of, 12/12/5. https://doi.org/10.1007/978-94-007-5860-5_12

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AB - 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.

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

Abstract

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Keywords

ASJC Scopus subject areas

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