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http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31990Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Joseph, Christiana | - |
| dc.contributor.author | Ojeniyi, Joseph | - |
| dc.contributor.author | Noel, Moses | - |
| dc.contributor.author | Ahmad, Suleiman | - |
| dc.contributor.author | Olusanjo, Fasola | - |
| dc.contributor.author | Anyaora, Peter | - |
| dc.date.accessioned | 2026-09-27T02:21:39Z | - |
| dc.date.available | 2026-09-27T02:21:39Z | - |
| dc.date.issued | 2025-09-16 | - |
| dc.identifier.citation | (Kazimierczak et al., 2024)Hartmann and Giles (2020)Suqri and Gillani (2022)Nobles (2024)Kazimierczak et al. (2024)Jada and Mayayise (2024) | en_US |
| dc.identifier.uri | http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31990 | - |
| dc.description.abstract | Artificial Intelligence (AI) is gradually changing how cyber warfare works, creating new opportunities but also posing threats. This systematic literature review analyses how AI is used in different areas, focusing on resources, methods, weaponisation, forensics, threat intelligence, defenses and research directions. This study uses PRISMA-ScR methodology to analyse relevant publications published between 2018 and 2025. The findings indicate that AI technologies are increasingly being utilised for reconnaissance, automated cyberattacks, and enhanced threat detection. It also increases defensive measures by implementing intelligent systems that ensure faster response and mitigation. However, the increased reliance on AI raises serious concerns about ethical concerns, algorithmic bias, data privacy issues, and the high risk of autonomous weaponisation. The study highlights the need to improve AI-based defense systems and forensic methods to keep up with changing cyber threats. The paper ends by recommending more research in AI, stronger cybersecurity systems, and greater international cooperation to ensure AI is used responsibly in cyber warfare. | en_US |
| dc.description.sponsorship | self sponsored. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | National Smart Innovation Conference | en_US |
| dc.relation.ispartofseries | ;165-186 | - |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Cyber Warfare | en_US |
| dc.subject | Threat Intelligence | en_US |
| dc.subject | AI Weaponisation | en_US |
| dc.subject | Cybersecurity Defense Strategies | en_US |
| dc.subject | Forensics | en_US |
| dc.title | ARTIFICIAL INTELLIGENCE – POWERED CYBER WARFARE: RESOURCES, METHODS, WEAPONISATION, FORENSICS, THREAT INTELLIGENCE AND DEFENSES: A SYSTEMATIC REVIEW | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | Cyber Security Science | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Conference _Proceedings_NSIC_2025.pdf | ARTIFICIAL INTELLIGENCE – POWERED CYBER WARFARE: RESOURCES, METHODS, WEAPONISATION, FORENSICS, THREAT INTELLIGENCE AND DEFENSES: A SYSTEMATIC REVIEW | 18.82 MB | Adobe PDF | View/Open |
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