Strategic Deployment of Artificial Intelligence (AI) and Machine Learning (ML) for Preemptive Neutralization of African-Originated Cyber Threats Toward a Comprehensive Multinational Defense Framework
Year: 2024
Type: conference-paper
Abstract: This paper explores the rising challenges posed by cybercrimes originating from Africa, which have increasingly targeted global institutions and individuals. It examines the socio-economic factors driving these activities and introduces a strategic framework designed to counter these threats using Artificial Intelligence (AI) and Machine Learning (ML). The framework focuses on innovative applications, such as behavioral profiling and threat prediction, to enhance cybersecurity defenses. Drawing from real-world case studies in Kenya, Nigeria, and Europe, the paper highlights the practical relevance of its approach. It also addresses critical ethical and legal considerations, emphasizing fairness, privacy, and inclusivity in implementing these technologies. By tackling cyber threats at their roots, this research aims to contribute to a more secure global digital ecosystem while ensuring that technological advancements are applied responsibly.
Author: Ndimkora, Stella Chiamaka
Institution: Kennesaw State University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949619306
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