Version 1
: Received: 2 September 2024 / Approved: 3 September 2024 / Online: 3 September 2024 (17:57:30 CEST)
How to cite:
Biplob, M. B. Empowering Bangladesh's Financial Infrastructure, Machine Learning, and Deep Learning Perspectives on Banking Cybersecurity. Preprints2024, 2024090242. https://doi.org/10.20944/preprints202409.0242.v1
Biplob, M. B. Empowering Bangladesh's Financial Infrastructure, Machine Learning, and Deep Learning Perspectives on Banking Cybersecurity. Preprints 2024, 2024090242. https://doi.org/10.20944/preprints202409.0242.v1
Biplob, M. B. Empowering Bangladesh's Financial Infrastructure, Machine Learning, and Deep Learning Perspectives on Banking Cybersecurity. Preprints2024, 2024090242. https://doi.org/10.20944/preprints202409.0242.v1
APA Style
Biplob, M. B. (2024). Empowering Bangladesh's Financial Infrastructure, Machine Learning, and Deep Learning Perspectives on Banking Cybersecurity. Preprints. https://doi.org/10.20944/preprints202409.0242.v1
Chicago/Turabian Style
Biplob, M. B. 2024 "Empowering Bangladesh's Financial Infrastructure, Machine Learning, and Deep Learning Perspectives on Banking Cybersecurity" Preprints. https://doi.org/10.20944/preprints202409.0242.v1
Abstract
The rapid expansion of Bangladesh's financial infrastructure, coupled with the increasing digitization of banking services, underscores the critical importance of cybersecurity. Machine learning and deep learning methodologies have emerged as potent tools in combating cyber threats such as intrusion, malware, and fraud. By harnessing artificial intelligence and data-driven analysis, these techniques enable real-time scrutiny of vast banking data, facilitating proactive defense against cyberattacks. Bangladesh's evolving financial landscape, characterized by governmental digitalization initiatives and a national financial inclusion strategy, heightens the imperative for robust cybersecurity measures. This paper explores the application of machine learning and deep learning techniques in bolstering banking cybersecurity within the context of Bangladesh's burgeoning digital economy.
Keywords
bangladesh; financial infrastructure; machine learning; deep learning; cybersecurity; banking; digitalization; national financial inclusion strategy; robust cybersecurity
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
