CFP last date
16 December 2024
Reseach Article

Holistic Exploration of Gaps vis-�-vis Artificial Intelligence in Automated Teller Machine and Internet Banking

by Adekunle Y. A., Akinola Kayode E., Okolie S. O., Adebayo A. O., Ebiesuwa S., Ehiwe D. D.
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 19
Year of Publication: 2019
Authors: Adekunle Y. A., Akinola Kayode E., Okolie S. O., Adebayo A. O., Ebiesuwa S., Ehiwe D. D.
10.5120/ijais2019451786

Adekunle Y. A., Akinola Kayode E., Okolie S. O., Adebayo A. O., Ebiesuwa S., Ehiwe D. D. . Holistic Exploration of Gaps vis-�-vis Artificial Intelligence in Automated Teller Machine and Internet Banking. International Journal of Applied Information Systems. 12, 19 ( February 2019), 4-8. DOI=10.5120/ijais2019451786

@article{ 10.5120/ijais2019451786,
author = { Adekunle Y. A., Akinola Kayode E., Okolie S. O., Adebayo A. O., Ebiesuwa S., Ehiwe D. D. },
title = { Holistic Exploration of Gaps vis-�-vis Artificial Intelligence in Automated Teller Machine and Internet Banking },
journal = { International Journal of Applied Information Systems },
issue_date = { February 2019 },
volume = { 12 },
number = { 19 },
month = { February },
year = { 2019 },
issn = { 2249-0868 },
pages = { 4-8 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number19/1048-2019451786/ },
doi = { 10.5120/ijais2019451786 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:09:33.987199+05:30
%A Adekunle Y. A.
%A Akinola Kayode E.
%A Okolie S. O.
%A Adebayo A. O.
%A Ebiesuwa S.
%A Ehiwe D. D.
%T Holistic Exploration of Gaps vis-�-vis Artificial Intelligence in Automated Teller Machine and Internet Banking
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 19
%P 4-8
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Artificial Intelligence (AI) is a computer science discipline that seeks to create intelligent software and hardware that can replicate our critical mental faculties in order to work and react like humans. Key applications of AI include speech recognition, language translation, visual perception, learning, reasoning, inference, strategizing, planning, decision making, and intuition. Automated Teller Machine (ATM) is a system that is in place to provide the users with instant cash; this system rides on the technology of AI. But the system functions with a single tier of security - called the Personal Identification Number (PIN). The ATM is an electronic telecommunication device that allows the financial institutions customers to directly use a secure method of communication to access their bank accounts. It is a self-service banking terminal that accepts deposits and dispenses cash at a lightning speed. Any ATM installed operates while the card is inserted into the machine. However, as man begins to realize the gains brought about by this machine to supplement human tellers, little did one know that the joy shall be short lived by the various sharp practices leading to financial losses. As banks are losing, so are the customers. News Media are filled with various forms of complaints on how users are losing money to fraudsters. Some have vowed never to come near usage of various cards – debit, credit or prepaid – local or international. The problem may even go as deep as engaging in legal battle between banks and their customers. This paper presents various gaps in authentication methods used in ATM transaction and their vulnerabilities and proffer robust authentication method to curb fraudulent activities in ATM. Hence, the need to find a lasting solution to ATM fraud is the main thrust of this paper.

References
  1. Ankit, S. and Neelu, J. (2017). Fraud Reduction in ATM Machines using Voice Recognition- A Review. International Journal of Innovative Research in Science, Engineering and Technology(ijirset), 6( 5), 7525-7530.
  2. Awodele, O. and Akanni, A. (2012). Combating automated teller machine frauds through biometrics. International Journal of Emerging Technology and Advanced Engineering, 2(11), 441 -444.
  3. Frimpong, T., Kofi, N., and Michael, A. (2016). Improving Security Levels In Automatic Teller Machines (ATM) Using Multifactor Authentication. International Journal of Science and Engineering Applications. 5(3), 126-134.
  4. Ibidapo, O. A., Omogbadegun, Z. O, and Oyelami, O.M. (2010). Towards Designing a Biometric Measure for Enhancing ATM Security in Nigeria E-Banking System. International Journal of Electrical and Computer Sciences IJECS-IJENS. 10 (6). 63-68.
  5. Jayakumar, S., Alamelu, Radhika , Ramya , Dharani and Senthil J., (2017). Enhanced way of Securing Automated Teller Machine to track the mis-users using secure monitor tracking analysis. IOP Conf. Ser.: Mater. Sci. Eng. 263 042032. doi:10.1088/1757-899X/263/4/042032.
  6. Jimoh, R.G. and Babatunde, A. N. (2014). Enhanced Automated Teller Machine using Short Message Service authentication verification. World Academy of Science, Engineering and Technology. International Journal of Computer, Information Science and Engineering. 8(1). 14-17.
  7. Muhammad, B.L., Alhassan M.E. and Ganiyu, S.O. (2015). An Enhanced ATM Security System using Second-Level Authentication. International Journal of Computer Applications. 111(5). 8-15.
  8. Navneet S. (2011). Vulnerability and security issues in Auto teller machine transactions . National Conference on Secure Data Communication and networks, 978-81-7906-273-9
  9. Oko, S. and Oruh, J. (2012): Enhanced ATM security system using biometrics. IJCSI International Journal of Computer Science Issues. 9(5). 352-357.
  10. Scotiabank (2010). Mobile Banking Security and Privacy. www.scotiabank.com.
  11. Supakit, M. and Sirapat, B.(2015). Improving Security with Two-factor Authentication Using Image. KMUTNB Int J Appl Sci Technol. 8(1), 33-43.
Index Terms

Computer Science
Information Sciences

Keywords

ATM Artificial Intelligence (AI) Iris Recognition Fraudster Gaps Internet Banking (IB)