DJCCMT

Delta Journal of Computing, Communications and Media Technologies

ISSN:3092-8478

Advancing research and innovation at the intersection of computing technology and media. A publication of Southern Delta University, Ozoro.

Delta Journal of Computing, Communications and Media Technologies(DJCCMT) is an open access double-blind peer reviewed and refereed Journal that brings together reasoned thoughts, research, and industry practice in areas of Computing, Artificial Intelligence, Robotics, System Engineering, Data Science, Analytics, Embedded Systems, Information and System Security, Media Studies, Communication Technologies, Information Science, Library Science, Educational Technologies, Applied Computing, and related disciplines in a reader-friendly format. The Journal is published online monthly with print version issue in February, May, August and November.

Delta Journal of Computing, Communications and Media Technologies

Volume 1 · Issue 1 · December 2024
Title of Paper

INTELLIGENT ADAPTIVE AND DYNAMIC THRESHOLD (IADT): A FRAMEWORK TO COUNTER EVASIVE CYBERCRIME IN NIGERIA'S FINANCIAL SERVICES

Abstract

Financial cybercrime poses a significant and evolving threat to the integrity of financial systems globally, with cybercriminals continuously developing new techniques to circumvent security measures. In Nigeria, the financial services providers are particularly vulnerable to these sophisticated attacks. Traditional static threshold-based fraud detection methods often fail to detect advanced and adaptive cyber threats, including evasive maneuvers such as threshold arbitrage, velocity attacks, and low-and-slow attacks. This paper proposes Intelligent Adaptive and Dynamic Threshold (IADT) as a robust framework to counter these evasive tactics. By examining the inherent limitations of static thresholds, we propose IADT as a viable solution that utilizes machine learning and real-time data analytics for dynamic adaptation. The framework aims to enhance the detection and mitigation of evasive maneuvers, thereby strengthening the resilience of Nigeria's financial systems. To illustrate the functionalities of this approach, we provide high level architecture of the framework and a conceptual design using Unified Modeling Language (UML) diagram, offering a view of the proposed framework's capabilities and mechanisms.

Authors

Margaret Dumebi Okpor, Okpomo Eterigho Okpu, Henry Peter Ovili, Emuejevoke Francis Ogbimi, Osu Joshua Orove, Isaac Ighofewo Umukoro, Endurance Adamugono, Cyril Febau Benafa, Ebejale Kasimir Ikunobe, Amanda Okeke, David Ovie Okpor

Keywords

Financial Cybercrime, Evasive Maneuvers, Intelligent Adaptive Thresholds, Dynamic Thresholds, Adaptive Security, Real-time Data Analysis.

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