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Strategic Deployment of Artificial Intelligence (AI) and Machine Learning (ML) for Preemptive Neutralization of African-Originated Cyber Threats Toward a Comprehensive Multinational Defense Framework

Domaine:

digital infrastructure

Type de record:

paper
Créateur:
Ndimkora, Stella Chiamaka
Éditeur:
Adedipe, Raymond
Éditeur:
Zenodo
Hôte:avatar

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.

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