Enhancing Cybersecurity and Fraud Prevention Through Inclusive, Data-Driven Approaches in Diverse Financial Communities.

Omolola Abimbola Akinola; Toyosi Motilola Olola; Deborah Osahor; Gamaliel Ibuola Olola; Oladapo Sopitan; Derinola Adegoke; Emuveyans Oghenetejiri Emohwo; Carl Amekudzi; Idowu Scholastica Adegoke; Obah Tawo

Enhancing Cybersecurity and Fraud Prevention Through Inclusive, Data-Driven Approaches in Diverse Financial Communities.

Author(s)	Omolola Abimbola Akinola, Toyosi Motilola Olola, Deborah Osahor, Gamaliel Ibuola Olola, Oladapo Sopitan, Derinola Adegoke, Emuveyans Oghenetejiri Emohwo, Carl Amekudzi, Idowu Scholastica Adegoke, Obah Tawo
Country	Nigeria
Abstract	The rapidly evolving landscape of cybersecurity threats and fraud in financial systems demands inclusive, data-driven strategies tailored to diverse communities. This paper conducts a systematic literature review (SLR), guided by the PRISMA framework, to explore the intersection of inclusivity, data analytics, and cybersecurity within varied financial contexts. By synthesizing findings from six high-quality studies, the review critically examines how advanced technologies such as artificial intelligence and machine learning can be leveraged to detect fraudulent activities while addressing socio-technical challenges and biases inherent in traditional systems. The analysis identifies key themes, including the integration of diverse datasets, community-centric design, and ethical AI frameworks that enhance trust, transparency, and fairness in fraud prevention. It further discusses the implications of these findings for financial institutions, emphasizing actionable strategies like staff training, iterative technology deployment, and community engagement to build resilient and equitable cybersecurity infrastructures. Policy recommendations highlight the need for regulatory frameworks that mandate transparency, accountability, and data privacy without stifling innovation. While the reviewed literature demonstrates promising approaches, notable gaps persist in interdisciplinary and longitudinal research, underscoring the need for future studies that integrate social science insights with technical advancements. This paper contributes to academic discourse by bridging technical cybersecurity measures with socio-cultural inclusivity, offering a theoretical framework and practical guidelines for developing equitable cybersecurity strategies. Ultimately, the study calls for continuous learning, adaptation, and cross-sector collaboration to foster safer, more inclusive financial communities capable of withstanding an ever-changing threat landscape.
Keywords	cybersecurity PRISMA AI Financial System
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 4, Issue 1, January-February 2022
Published On	2022-01-10

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Enhancing Cybersecurity and Fraud Prevention Through Inclusive, Data-Driven Approaches in Diverse Financial Communities.

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