A Systematical Review Study to Investigate the Use of Biometric Security Techniques in Automatic Teller Machines: Insight from the Past 15 Years
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Date
2019
Authors
Saad,A.M.S.E.
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Institute of Electrical and Electronics Engineers Inc.
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Abstract
In a Technological financial world where everything is progressing very fast and the amount of financial transactions through the automatic teller machines (ATM) on a daily basis is increasing. In parallel to these developments, fraudulent attacks and identity theft targeting to access the ATM and steal money or use bank accounts. Those attacks are always possible through the weak security points in the ATMs. The main aim of this study is to investigate and categorize the different approaches taken to overcome those weak security points by using biometric data along with some traditional methods. Accordingly, a systematical mapping was conducted by focusing on research studies published in the years 2004 to 2019 and addressing to the ATMs and biometric security technologies. After an intense investigation, 23 different systems were investigated using different single and multi-biometric models which make use of 8 different biometric technologies and 5 different traditional technologies as key components. As a conclusion from this research that researchers are leaning towards using biometric data in enhancing the security of the ATMs especially in the past 4 years more than they did before. © 2019 IEEE.
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ATM (Automatic Teller Machine), biometrics, CIN (Customer Identification number), finger vein, fingerprint, iris, OTP (One-Time Password), palm print, palm vein, PIN (personal Identification number), QR code, voice
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1st International Informatics and Software Engineering Conference: Innovative Technologies for Digital Transformation, IISEC 2019 - Proceedings -- 1st International Informatics and Software Engineering Conference, IISEC 2019 -- 6 November 2019 through 7 November 2019 -- Ankara -- 157111