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

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-24
DOI
https://doi.org/10.5281/zenodo.14553427
Primary Topic
solar cell performance optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
solar cell performance optimization
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Kennesaw State University (US)
Openalex Percentile: Top 66%
solar cell performance optimization
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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 · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS