AI-Driven Cyber Threats and Defences in Nigeria's Digital Economy: A Literature Review

Authors

Aliyu Musa Bade

Department of Computer Science, Yobe State University Damaturu (Nigeria)

Alhaji Idi Babate

Department of Computer Science, Federal College of Education (Tech.) Potiskum (Nigeria)

Musa Wakil Bara

Department of Computer Science, Mai Idris Alooma Polytechnic Geidam (Nigeria)

Article Information

DOI: 10.51584/IJRIAS.2026.110200140

Subject Category: Computer Science

Volume/Issue: 11/2 | Page No: 1505-1511

Publication Timeline

Submitted: 2026-02-23

Accepted: 2026-02-28

Published: 2026-03-19

Abstract

The rapid expansion of Nigeria’s digital economy driven by fintech innovation, mobile banking, e-commerce, and post–COVID-19 digital transformation has been accompanied by a corresponding rise in sophisticated cyber threats. Artificial intelligence (AI) has emerged as a dual-use technology, enabling both advanced cyberattacks and innovative defensive mechanisms. This literature review synthesizes existing research on AI-driven cyber threats and AI-based defense strategies within the context of Nigeria’s evolving digital ecosystem. Drawing on nearly one hundred scholarly and institutional sources, the study examines the nature of AI-enabled attack vectors, criminal actors, sectoral vulnerabilities, and the socio-economic drivers shaping cybercrime in Nigeria. Key threats identified include AI-assisted phishing, deepfake impersonation, automated malware deployment, ransomware-as-a-service, and intrusion detection evasion, with the fintech, telecommunications, healthcare, and government sectors remaining the most exposed. The review further evaluates the role of AI in cybersecurity defense, including machine learning–based anomaly detection, intrusion prevention, incident response, and recovery systems. Governance challenges, regulatory gaps, workforce capacity limitations, and infrastructural constraints affecting effective AI adoption are also analyzed. Findings reveal that while Nigeria mirrors global cybercrime trends, unique local factors such as unemployment, digital financial inclusion, and limited enforcement capacity intensify cyber risks. The study highlights significant research gaps, particularly in AI ethics, data sovereignty, and localized cybersecurity frameworks. It concludes that sustained investment in AI-driven defenses, policy reform, and capacity building is essential for strengthening cyber resilience and safeguarding Nigeria’s digital economy.

Keywords

cyber threats, defense, cybercrime, intrusion, FinTech & cybersecurity

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References

1. Adewopo, V., Worlali Azumah, S., Awinsongya Yakubu, M., Kojo Gyamfi, E., Ozer, M.; Elsayed, N. (2024). A Comprehensive Analytical Review on Cybercrime in West Africa. [PDF] [Google Scholar] [Crossref]

2. African Development Bank (2025). African Economic Outlook 2025: Digital Transformation and Inclusive Growth. African Development Bank. [Google Scholar] [Crossref]

3. African Development Bank. (2025). Nigeria Economic Outlook 2025: Digital Economy Projections. [Google Scholar] [Crossref]

4. Ajie, I. (2019). A Review of Trends and Issues of Cybersecurity in Academic Libraries. [PDF] [Google Scholar] [Crossref]

5. Bernardez Molina, S., Nespoli, P.; Gómez Mármol, F. (2023). Tackling Cyberattacks through AI-based Reactive Systems: A Holistic Review and Future Vision. [PDF] [Google Scholar] [Crossref]

6. Fazelnia, M., Khokhlov, I.; Mirakhorli, M. (2022). Attacks, Defenses, and Tools: A Framework to Facilitate Robust AI/ML Systems. [PDF] [Google Scholar] [Crossref]

7. H. Mohammed, K., D. Mohammed, Y., A. Solanke, A. (2019). Cybercrime and Digital Forensics: Bridging the gap in Legislation, Investigation and Prosecution of Cybercrime in Nigeria. [PDF] [Google Scholar] [Crossref]

8. Interpol. (2025). Global Cybercrime Report 2025: Africa Focus. [Google Scholar] [Crossref]

9. Interpol (2025). Africa Cyberthreat Assessment Report 2025. International Criminal Police Organization. Available at: https://www.interpol.int/content/download/23094/ file/INTERPOL_Africa_Cyberthreat_Assessment_Report_2025.pdf [Google Scholar] [Crossref]

10. Javaheri, D., Fahmideh, M., Chizari, H.; Lalbakhsh, P., Hur, J. (2023). Cybersecurity threats in FinTech: A systematic review. [PDF] [Google Scholar] [Crossref]

11. Michael Awoleye, O. (2021). Reconfiguring Data Infrastructure Ecosystem in Africa: A Primer Toward Digital Sovereignty. [PDF] [Google Scholar] [Crossref]

12. NCC. (2024). Nigeria Communications Commission Annual Cyber Threat Report 2024. [Google Scholar] [Crossref]

13. NCC (2024). Annual Report on Cybersecurity Incidents in the Nigerian Telecommunications Sector. Nigerian Communications Commission [Google Scholar] [Crossref]

14. O. Uwadia, C., O. Omogbadegun, Z., P. Fasina, E. (2006). Cybercrime Pervasiveness, Consequences, and Sustainable Counter Strategies. [PDF] [Google Scholar] [Crossref]

15. Oluwafemi Jemilohun, B., Ifedayo Akomolede, T. (2015). Legislating for Cyberspace: Challenges for the Nigerian Legislature. [PDF] [Google Scholar] [Crossref]

16. Pedreira, V., Barros, D., Pinto, P. (2021). A Review of Attacks, Vulnerabilities, and Defenses in Industry 4.0 with New Challenges on Data Sovereignty Ahead. ncbi.nlm.nih.gov [Google Scholar] [Crossref]

17. Schmitt, M. (2023). Securing the Digital World: Protecting smart infrastructures and digital industries with Artificial Intelligence (AI)-enabled malware and intrusion detection. [PDF] [Google Scholar] [Crossref]

18. Şeker, E. (2019). Use of Artificial Intelligence Techniques / Applications in Cyber Defense. [PDF] [Google Scholar] [Crossref]

19. World Bank (2025). Nigeria Economic Update: Navigating Cyber Risks in a Digital Economy. The World Bank Group. [Google Scholar] [Crossref]

20. World Bank. (2025). Digital Economy Diagnostic: Nigeria 2025. [Google Scholar] [Crossref]

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