Papers by Mosa Sumaiya Khatun Munira
American Journal of Advanced Technology and Engineering Solutions, 2025
The rapid digitalization of banking services has significantly transformed financial transactions... more The rapid digitalization of banking services has significantly transformed financial transactions, offering enhanced convenience and efficiency for consumers. However, the increasing reliance on digital banking has also exposed financial institutions and users to a wide range of cybersecurity threats, including phishing, malware, ransomware, data breaches, and unauthorized access. This study systematically examines the influence of cybersecurity threats on digital banking security, adoption, and regulatory compliance by conducting a comprehensive review of 78 peer-reviewed articles published between 2015 and 2024. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, this research critically evaluates the most prevalent cyber threats targeting digital banking platforms, the effectiveness of modern security measures, and the role of regulatory frameworks in mitigating financial cybersecurity risks. The findings reveal that phishing and malware attacks remain the most commonly exploited cyber threats, leading to significant financial losses and consumer distrust. Multi-factor authentication (MFA) and biometric security have been widely adopted to combat unauthorized access, while AI-driven fraud detection and blockchain technology offer promising solutions for securing financial transactions. However, the integration of third-party FinTech solutions introduces additional security risks, necessitating stringent regulatory oversight and cybersecurity protocols. The study also highlights that compliance with global cybersecurity regulations, such as GDPR, PSD2, and GLBA, enhances digital banking security by enforcing strict authentication measures, encryption protocols, and real-time fraud monitoring. Despite these advancements, financial institutions face ongoing challenges in balancing security, usability, and regulatory compliance, which impact consumer trust and digital banking adoption. The review underscores the need for a multi-layered security strategy that integrates encryption, AIdriven fraud prevention, blockchain security, and robust regulatory frameworks to ensure the long-term resilience of digital banking. This study contributes to the growing body of knowledge on financial cybersecurity, offering insights into emerging threats, risk mitigation strategies, and policy recommendations for securing digital financial ecosystems.
The rapid digitalization of banking services has significantly transformed financial transactions... more The rapid digitalization of banking services has significantly transformed financial transactions, offering enhanced convenience and efficiency for consumers. However, the increasing reliance on digital banking has also exposed financial institutions and users to a wide range of cybersecurity threats, including phishing, malware, ransomware, data breaches, and unauthorized access. This study systematically examines the influence of cybersecurity threats on digital banking security, adoption, and regulatory compliance by conducting a comprehensive review of 78 peer-reviewed articles published between 2015 and 2024. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, this research critically evaluates the most prevalent cyber threats targeting digital banking platforms, the effectiveness of modern security measures, and the role of regulatory frameworks in mitigating financial cybersecurity risks. The findings reveal that phishing and malware attacks remain the most commonly exploited cyber threats, leading to significant financial losses and consumer distrust. Multi-factor authentication (MFA) and biometric security have been widely adopted to combat unauthorized access, while AI-driven fraud detection and blockchain technology offer promising solutions for securing financial transactions. However, the integration of third-party FinTech solutions introduces additional security risks, necessitating stringent regulatory oversight and cybersecurity protocols. The study also highlights that compliance with global cybersecurity regulations, such as GDPR, PSD2, and GLBA, enhances digital banking security by enforcing strict authentication measures, encryption protocols, and real-time fraud monitoring. Despite these advancements, financial institutions face ongoing challenges in balancing security, usability, and regulatory compliance, which impact consumer trust and digital banking adoption. The review underscores the need for a multi-layered security strategy that integrates encryption, AIdriven fraud prevention, blockchain security, and robust regulatory frameworks to ensure the long-term resilience of digital banking. This study contributes to the growing body of knowledge on financial cybersecurity, offering insights into emerging threats, risk mitigation strategies, and policy recommendations for securing digital financial ecosystems.
American Journal of Scholarly Research and Innovation, 2022
Blockchain technology has emerged as a transformative force in financial systems, offering enhanc... more Blockchain technology has emerged as a transformative force in financial systems, offering enhanced security, transparency, and efficiency in banking, trade finance, and regulatory compliance. This study systematically examines the adoption trends, challenges, and impacts of blockchain integration in financial systems across developed and developing economies, utilizing a case study approach. A total of 38 case studies were reviewed, encompassing financial institutions, trade finance networks, and government-backed blockchain initiatives to provide a comparative analysis of blockchain's effectiveness in different economic contexts. The findings reveal that blockchain adoption has significantly reduced fraudulent transactions by 42%, expedited trade finance settlement times by 58%, and improved compliance efficiency by 49% in regulated financial environments. While developed economies benefit from clear regulatory frameworks and advanced digital infrastructure, developing economies leverage blockchain for financial inclusion, with mobile-based blockchain solutions increasing banking accessibility by 67% among unbanked populations in select cases. Furthermore, the study highlights blockchain's role in mitigating cyber threats, with blockchainsecured financial institutions experiencing a 47% decline in cyberattacks and improved fraud detection accuracy by 31% through AI-driven blockchain models. Additionally, blockchain integration with artificial intelligence (AI), the Internet of Things (IoT), and cloud computing has enhanced real-time financial monitoring, trade authentication, and secure data management, demonstrating its growing role in financial digitalization. Despite regulatory and infrastructure challenges, blockchain presents a robust framework for fostering secure, efficient, and inclusive financial transactions globally. This study provides valuable insights for financial institutions, policymakers, and technology developers seeking to maximize blockchain's potential in reshaping global finance and trade ecosystems.
American Journal of Scholarly Research and Innovation, 2022
Blockchain technology has emerged as a transformative force in financial systems, offering enhanc... more Blockchain technology has emerged as a transformative force in financial systems, offering enhanced security, transparency, and efficiency in banking, trade finance, and regulatory compliance. This study systematically examines the adoption trends, challenges, and impacts of blockchain integration in financial systems across developed and developing economies, utilizing a case study approach. A total of 38 case studies were reviewed, encompassing financial institutions, trade finance networks, and government-backed blockchain initiatives to provide a comparative analysis of blockchain's effectiveness in different economic contexts. The findings reveal that blockchain adoption has significantly reduced fraudulent transactions by 42%, expedited trade finance settlement times by 58%, and improved compliance efficiency by 49% in regulated financial environments. While developed economies benefit from clear regulatory frameworks and advanced digital infrastructure, developing economies leverage blockchain for financial inclusion, with mobile-based blockchain solutions increasing banking accessibility by 67% among unbanked populations in select cases. Furthermore, the study highlights blockchain's role in mitigating cyber threats, with blockchainsecured financial institutions experiencing a 47% decline in cyberattacks and improved fraud detection accuracy by 31% through AI-driven blockchain models. Additionally, blockchain integration with artificial intelligence (AI), the Internet of Things (IoT), and cloud computing has enhanced real-time financial monitoring, trade authentication, and secure data management, demonstrating its growing role in financial digitalization. Despite regulatory and infrastructure challenges, blockchain presents a robust framework for fostering secure, efficient, and inclusive financial transactions globally. This study provides valuable insights for financial institutions, policymakers, and technology developers seeking to maximize blockchain's potential in reshaping global finance and trade ecosystems.
American Journal of Advanced Technology and Engineering Solutions, 2025
The integration of Artificial Intelligence (AI) into Customer Relationship Management (CRM) has r... more The integration of Artificial Intelligence (AI) into Customer Relationship Management (CRM) has revolutionized the financial services industry by enhancing customer engagement, fraud detection, predictive analytics, regulatory compliance, and marketing strategies. This study systematically reviews 83 scholarly studies, including peer-reviewed journal articles, industry reports, and financial institution case studies, to assess AI’s impact on financial CRM. The findings indicate that AI-powered chatbots, virtual assistants, and sentiment analysis tools have significantly improved customer interactions, reducing response times by 57% and operational costs by 38%, while increasing customer retention rates by 28%. AI-driven fraud detection systems have enhanced transaction monitoring, reducing false positives by 52% and improving fraud detection efficiency by 74%, leading to a 43% decrease in financial losses related to fraud. Predictive analytics has transformed credit risk assessment, improving loan approval accuracy by 67%, expediting loan processing by 29%, and reducing default rates by 23%. AI has also optimized regulatory compliance by automating Know Your Customer (KYC) and Anti-Money Laundering (AML) processes, increasing compliance accuracy by 58% and reducing penalties by 37%. Additionally, AI-driven marketing strategies have strengthened customer targeting, increasing engagement by 53% and boosting product adoption rates by 31%, while Customer Lifetime Value (CLV) models have contributed to a 27% increase in long-term customer retention and a 22% improvement in per-customer profitability. This study provides a comprehensive analysis of AI-driven CRM’s measurable benefits in financial services, demonstrating its role in enhancing decision-making, streamlining operations, improving financial security, and fostering long-term customer loyalty. The findings contribute to the expanding literature on AI in financial CRM and offer strategic insights for financial institutions, policymakers, and technology developers aiming to optimize AI adoption for sustainable growth and competitive advantage.
American Journal of Advanced Technology and Engineering Solutions, 2025
INTRODUCTION The integration of Artificial Intelligence (AI) in Customer Relationship Management ... more INTRODUCTION The integration of Artificial Intelligence (AI) in Customer Relationship Management (CRM) has transformed how financial institutions engage with their customers, optimize services, and enhance operational efficiency (Lee & Chen, 2022). The financial services industry, particularly banking, insurance, and FinTech, has increasingly adopted AI to manage vast datasets, predict customer needs, and personalize interactions in real-time (Ali et al., 2019). Traditional CRM systems relied heavily on rule-based automation and structured data analysis, limiting their ability to adapt to dynamic customer behaviors and evolving financial market conditions (Mhlanga, 2020
Strategic Data Management and Innovation, 2025
This study systematically reviews the transformative impact of digital transformation in the bank... more This study systematically reviews the transformative impact of digital transformation in the banking sector, focusing on trends, technologies, and challenges that shape modern financial institutions. By analyzing 150 peerreviewed articles published between 2015 and 2025, this study highlights the critical role of emerging technologies such as artificial intelligence, machine learning, blockchain, and digital wallets in enhancing operational efficiency, customer experiences, and financial inclusion. The findings reveal how AI and ML drive predictive analytics, fraud detection, and personalized service delivery while mobile banking and digital wallets revolutionize accessibility and convenience, especially in underserved regions. Blockchain technology emerges as a game-changer, offering secure and transparent financial transactions, reducing costs, and fostering trust. The review also identifies significant challenges, including cybersecurity threats, regulatory compliance, and environmental implications, particularly the energy demands of digital infrastructures. Furthermore, this study highlights gaps in existing literature, such as limited long-term impact studies and insufficient cross-regional analyses. This comprehensive synthesis provides valuable insights for banking institutions, policymakers, and researchers seeking to align digital transformation initiatives with strategic, operational, and sustainability goals, ensuring a balanced approach to innovation and inclusivity in the financial sector.
Aim International Journal, 2024
The rapid adoption of cloud banking has transformed the financial sector by enhancing efficiency,... more The rapid adoption of cloud banking has transformed the financial sector by enhancing efficiency, scalability, and accessibility. However, this shift has introduced significant data privacy and cybersecurity challenges, as sensitive financial information becomes increasingly vulnerable to breaches, unauthorized access, and regulatory non-compliance. Artificial Intelligence (AI) has emerged as a powerful solution to address these challenges, offering advanced tools for real-time threat detection, anomaly monitoring, and privacy preservation. This study systematically reviews 62 peer-reviewed articles using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework to explore the role of AI in strengthening data privacy within cloud banking systems. The findings reveal that AI-driven models, including machine learning, deep learning, and federated learning, improve threat detection accuracy, reduce false positives by up to 65%, and enable secure, multi-institutional collaboration without exposing sensitive information. Furthermore, AI enhances compliance automation, ensuring adherence to regulatory standards such as GDPR and CCPA while improving reporting efficiency by 50%. Despite challenges such as algorithmic biases and the resource-intensive nature of AI systems, advancements in adversarial training and explainable AI offer promising solutions.
AIM International Journal Publisher, 2024
The rapid adoption of cloud banking has transformed the financial
sector by enhancing efficiency,... more The rapid adoption of cloud banking has transformed the financial
sector by enhancing efficiency, scalability, and accessibility. However,
this shift has introduced significant data privacy and cybersecurity
challenges, as sensitive financial information becomes increasingly
vulnerable to breaches, unauthorized access, and regulatory noncompliance. Artificial Intelligence (AI) has emerged as a powerful
solution to address these challenges, offering advanced tools for realtime threat detection, anomaly monitoring, and privacy preservation.
This study systematically reviews 62 peer-reviewed articles using the
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
(PRISMA) framework to explore the role of AI in strengthening data
privacy within cloud banking systems. The findings reveal that AIdriven models, including machine learning, deep learning, and
federated learning, improve threat detection accuracy, reduce false
positives by up to 65%, and enable secure, multi-institutional
collaboration without exposing sensitive information. Furthermore,
AI enhances compliance automation, ensuring adherence to
regulatory standards such as GDPR and CCPA while improving
reporting efficiency by 50%. Despite challenges such as algorithmic
biases and the resource-intensive nature of AI systems, advancements
in adversarial training and explainable AI offer promising solutions.
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Papers by Mosa Sumaiya Khatun Munira
sector by enhancing efficiency, scalability, and accessibility. However,
this shift has introduced significant data privacy and cybersecurity
challenges, as sensitive financial information becomes increasingly
vulnerable to breaches, unauthorized access, and regulatory noncompliance. Artificial Intelligence (AI) has emerged as a powerful
solution to address these challenges, offering advanced tools for realtime threat detection, anomaly monitoring, and privacy preservation.
This study systematically reviews 62 peer-reviewed articles using the
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
(PRISMA) framework to explore the role of AI in strengthening data
privacy within cloud banking systems. The findings reveal that AIdriven models, including machine learning, deep learning, and
federated learning, improve threat detection accuracy, reduce false
positives by up to 65%, and enable secure, multi-institutional
collaboration without exposing sensitive information. Furthermore,
AI enhances compliance automation, ensuring adherence to
regulatory standards such as GDPR and CCPA while improving
reporting efficiency by 50%. Despite challenges such as algorithmic
biases and the resource-intensive nature of AI systems, advancements
in adversarial training and explainable AI offer promising solutions.