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Cybernetics and Systems
An International Journal
Volume 55, 2024 - Issue 2
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Research Articles

Artificial Intelligence and Cyber Defense System for Banking Industry: A Qualitative Study of AI Applications and Challenges

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References

  • Abu-Taieh, E., A. Alfaries, S. Al-Otaibi, and G. Aldehim. 2018. Cyber security crime and punishment: Comparative study of the laws of Jordan, Kuwait, Qatar, Oman, and Saudi Arabia. International Journal of Cyber Warfare and Terrorism 8 (3):46–59. doi:10.4018/IJCWT.2018070104.
  • Akinbowale, O. E., H. E. Klingelhöfer, and M. F. Zerihun. 2020. Analysis of cyber-crime effects on the banking sector using the balanced score card: A survey of literature. Journal of Financial Crime 27 (3):945–58. doi:10.1108/JFC-03-2020-0037.
  • Alghazo, J. M., Z. Kazmi, and G. Latif. 2017. Cyber security analysis of internet banking in emerging countries: User and bank perspectives. In 2017 4th IEEE international conference on engineering technologies and applied sciences (ICETAS) (1–6). IEEE. doi:10.1109/ICETAS.2017.8277910.
  • Al-Hamar, Y., H. Kolivand, and A. Al-Hamar. 2019. Phishing attacks in Qatar: A literature review of the problems and solutions. In 2019 12th International Conference on Developments in eSystems Engineering (DeSE) (pp. 837–842). IEEE. doi:10.1109/DeSE.2019.00155.
  • Al-Mhiqani, M. N., R. Ahmad, Z. Z. Abidin, W. M. Yassin, A. Hassan, A. N. Mohammad, and N. L. Clarke. 2018. A new taxonomy of insider threats: An initial step in understanding authorised attack. International Journal of Information Systems and Management 1 (4):343–59. doi:10.1504/IJISAM.2018.094777.
  • Almutairi, M, and H. Nobanee. 2020. Artificial intelligence in financial industry. Available at SSRN 3578238
  • Braun, V, and V. Clarke. 2013. Successful qualitative research: A practical guide for beginners. London: Sage.
  • Caldwell, M., J. T. A. Andrews, T. Tanay, and L. D. Griffin. 2020. AI-enabled future crime. Crime Science 9 (1):1–13. doi:10.1186/s40163-020-00123-8.
  • Cerrudo, C, and L. Apa. 2017. Hacking robots before skynet. IOActive Website 1–17.
  • Chowdhury, A., G. Karmakar, and J. Kamruzzaman. 2017. Survey of recent cyber security attacks on robotic systems and their mitigation approaches. In Detecting and Mitigating Robotic Cyber Security Risks, 284–99. IGI global.
  • Chui, M., J. Manyika, and M. Miremadi. 2016. Where machines could replace humans-and where they can’t (yet).
  • Dash, P., M. Karimibiuki, and K. Pattabiraman. 2021. Stealthy attacks against robotic vehicles protected by control-based intrusion detection techniques. Digital Threats: Research and Practice 2 (1):1–25. doi:10.1145/3419474.
  • Deep, V, and P. Sharma. 2018. Analysis and Impact of Cyber Security Threats in India using Mazarbot Case Study. In 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS) (499–503), IEEE, December.
  • Dieber, B., B. Breiling, S. Taurer, S. Kacianka, S. Rass, and P. Schartner. 2017. Security for the robot operating system. Robotics and Autonomous Systems 98:192–203. doi:10.1016/j.robot.2017.09.017.
  • Dilek, S., H. Çakır, and M. Aydın. 2015. Applications of artificial intelligence techniques to combating cyber-crimes: A review. arXiv Preprint arXiv:1502.03552
  • Dworkin, S. L. 2012. Sample size policy for qualitative studies using in-depth interviews. Archives of Sexual Behavior 41 (6):1319–20.
  • EBF. 2019. “AI in the banking industry.” European Banking Federation position paper, https://www.ebf.eu/cybersecurity-innovation/ai-in-the-banking-industry-ebf-position-paper/.
  • Elzamly, A., B. Hussin, S. S. Abu-Naser, T. Shibutani, and M. Doheir. 2017. Predicting critical cloud computing security issues using Artificial Neural Network (ANNs) algorithms in banking organizations.
  • Financial Stability Board. 2017. Artificial intelligence and machine learning in financial services: Market developments and financial stability implications. Financial Stability Board Research Paper, https://www.fsb.org/2017/11/artificial-intelligence-and-machine-learning-in-financial-service/.
  • Galvin, R. 2015. How many interviews are enough? Do qualitative interviews in building energy consumption research produce reliable knowledge? Journal of Building Engineering 1:2–12. doi:10.1016/j.jobe.2014.12.001.
  • Geluvaraj, B., P. M. Satwik, and T. A. Ashok Kumar. 2019. The future of cybersecurity: Major role of artificial intelligence, machine learning, and deep learning in cyberspace. In International Conference on Computer Networks and Communication Technologies (739–47). Springer, Singapore.
  • Goosen, R., A. Rontojannis, S. Deutscher, J. Rogg, W. Bohmayr, and D. Mkrtchian. 2018. Artificial intelligence is a threat to cybersecurity. It’s also a solution. Boston Consulting Group (BCG), Tech. Rep.
  • Guerrero-Higueras, Á. M., N. DeCastro-García, and V. Matellán. 2018. Detection of cyber-attacks to indoor real time localization systems for autonomous robots. Robotics and Autonomous Systems 99:75–83. doi:10.1016/j.robot.2017.10.006.
  • Guiochet, J., M. Machin, and H. Waeselynck. 2017. Safety-critical advanced robots: A survey. Robotics and Autonomous Systems 94:43–52. doi:10.1016/j.robot.2017.04.004.
  • Hellaoui, H., M. Koudil, and A. Bouabdallah. 2017. Energy-efficient mechanisms in security of the internet of things: A survey. Computer Networks 127:173–89. doi:10.1016/j.comnet.2017.08.006.
  • Kaloudi, N, and J. Li. 2020. The AI-based cyber threat landscape: A survey. ACM Computing Surveys 53 (1):1–34. doi:10.1145/3372823.
  • Kirschgens, L. A., I. Z. Ugarte, E. G. Uriarte, A. M. Rosas, and V. M. Vilches. 2018. Robot hazards: From safety to security. arXiv Preprint arXiv:1806.06681
  • Kochhar, K., H. Purohit, and R. Chutani. 2019. The rise of artificial intelligence in banking sector. In The 5th International Conference on Educational Research and Practice (ICERP) 2019(127).
  • Lacava, G., A. Marotta, F. Martinelli, A. Saracino, A. La Marra, E. Gil-Uriarte, and V. M. Vilches. 2021. Cybsersecurity issues in robotics. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 12 (3):1–28.
  • Lai, S. T., F. Y. Leu, and J. W. Lin. 2018. A banking chatbot security control procedure for protecting user data security and privacy. In International conference on broadband and wireless computing, communication and applications (561–71). Springer, Cham, October
  • Ling, L., Z. Gao, M. A. Silas, I. Lee, and E. A. Le Doeuff. 2019. An AI-based, multi-stage detection system of banking botnets. arXiv Preprint arXiv:1907.08276
  • Lukonga, M. I. 2018. Fintech, inclusive growth and cyber risks: Focus on the MENAP and CCA regions. IMF Working Papers 2018/201.
  • McNiff, K. 2016. "What is qualitative research?" The NVivo Blog QSR International.
  • Mosteanu, N. R. 2020. Artificial intelligence and cyber security–face to face with cyber-attack–A maltese case of risk management approach. Ecoforum Journal 9 (2):12–25.
  • Ortiz, J., A. Marin, and O. Gualdron. 2016. Implementation of a banking system security in embedded systems using artificial intelligence. Advances in Natural and Applied Sciences 10 (17):95–101.
  • Perumal, S. V. 2018. Cyber security vital for Qatar’s sustainable growth, say banks.
  • Perumal, S. V. 2018. Cyber security vital for Qatar’s sustainable growth, say banks. Gulf Times, http://desktop.gulf-times.com/story/613378. 2018.
  • Petit, J, and S. E. Shladover. 2014. Potential cyberattacks on automated vehicles. IEEE Transactions on Intelligent Transportation Systems 16 (2):546–56.
  • Qatar Banking Perspectives. 2021. Technology, innovation and sustainability, https://assets.kpmg/content/dam/kpmg/qa/pdf/2021/09/qatar-banking-perspective-2021-v2.pdf
  • Radanliev, P, and D. De Roure. 2021. Review of algorithms for artificial intelligence on low memory devices. IEEE Access. 9:109986–93. doi:10.1109/ACCESS.2021.3101579.
  • Radanliev, P., D. De Roure, P. Burnap, and O. Santos. 2021. Epistemological equation for analysing uncontrollable states in complex systems: Quantifying cyber risks from the internet of things. The Review of Socionetwork Strategies 15 (2):381–411.
  • Ranjan, S., D. R. Gupta, and D. A. Gupta. 2020. Artificial intelligence in financial acumen: Challenges and opportunities. Cosmos Journal of Engineering & Technology 10 (1):1–5.
  • Richards, T. 2002. An intellectual history of NUD* IST and NVivo. International Journal of Social Research Methodology 5 (3):199–214. doi:10.1080/13645570210146267.
  • Rubio, J. E., C. Alcaraz, R. Roman, and J. Lopez. 2019. Current cyber-defense trends in industrial control systems. Computers & Security 87:101561. doi:10.1016/j.cose.2019.06.015.
  • Ryzhkova, M., E. Soboleva, A. Sazonova, and M. Chikov. 2020. Consumers’ perception of artificial intelligence in banking sector. In SHS Web of Conferences 80:1019. EDP Sciences. doi:10.1051/shsconf/20208001019.
  • Shmuratko, Y. A, and S. A. Sheludko. 2019. Financial technologies’impact on the development of banking. Financial and Credit Activity: Problems of Theory and Practice 4 (31):61–9.
  • Soni, V. D. 2019. Role of artificial intelligence in combating cyber threats in banking. International Engineering Journal for Research & Development 4 (1):7–
  • Tao, Q., M. Jiang, X. Wang, and B. Deng. 2018. A cloud-based experimental platform for networked industrial control systems. International Journal of Modeling, Simulation, and Scientific Computing 09 (04):1850024. doi:10.1142/S1793962318500241.
  • Terry, G., N. Hayfield, V. Clarke, and V. Braun. 2017. Thematic analysis. The SAGE Handbook of Qualitative Research in Psychology 2:17–37.
  • Thowfeek, M. H., S. N. Samsudeen, and M. B. F. Sanjeetha. 2020. Drivers of artificial intelligence in banking service sectors. Solid State Technology 63 (5):6400–11.
  • Truby, J., R. Brown, and A. Dahdal. 2020. Banking on AI: Mandating a proactive approach to AI regulation in the financial sector. Law and Financial Markets Review 14 (2):110–20. doi:10.1080/17521440.2020.1760454.
  • Zamawe, F. C. 2015. The implication of using NVivo software in qualitative data analysis: Evidence-based reflections. Malawi Medical Journal: The Journal of Medical Association of Malawi 27 (1):13–5. doi:10.4314/mmj.v27i1.4.