AI in Cyberwarfare: Impact of AI Automation and Data Weaponisation

This research focuses on the transformative power of Artificial Intelligence in modern cyberwarfare, in particular, its effects on AI automation and data weaponisation throughout the 2023 Nigerian presidential election. We have analysed the ways by which AI is redefining cyberspace operations and found both the potential benefits of the use of AI in such operations and the very serious security and ethical challenges brought forth. Using a four-step methodology, we identified current trends in AI and cyberwarfare, harvested and analysed over six million tweets relevant to the Nigerian election, and set the foundation for building an AI model whose objective is to mimic Nigerian communication styles to generate fake content. Our findings indicate that the potential of AI-generated disinformation to manipulate election results is downright terrifying. This means that policymakers must understand and regulate the use of AI in cyber warfare for national security protection. Keywords: AI, Cyberwarfare, AI Automation, Data Weaponisation Proceedings Citation Format Hamzat Lateef (CISM), Birma Markus Yakubu & Abdulqadri Afolabi (2024): AI in Cyberwarfare: Impact of AI Automation and Data Weaponisation. Proceedings of the Cyber Secure Nigeria Conference held at The Ballroom Center, Central Business District, Federal Capital Territory, Abuja, Nigeria - 25th - 26th September, 2024. Pp 71-82. https://cybersecurenigeria.org/conference-proceedings/volume-1-2024/ dx.doi.org/10.22624/AIMS/CSEAN-SMART2024P7

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Publication Details

Journal
Advances in Multidisciplinary & Scientific Research Journal Publication
Published
2024-09-30
DOI
https://doi.org/10.22624/aims/csean-smart2024p7
Primary Topic
Advanced Malware Detection Techniques
Type
article
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article

AI in Cyberwarfare: Impact of AI Automation and Data Weaponisation

Lateef Hamzat, Markus Yakubu Birma, Afolabi Abdulqadri
Advances in Multidisciplinary & Scientific Research Journal Publication
Advanced Malware Detection Techniques
article

AI in Cyberwarfare: Impact of AI Automation and Data Weaponisation

Lateef Hamzat, Markus Yakubu Birma, Afolabi Abdulqadri
article en

Abstract

This research focuses on the transformative power of Artificial Intelligence in modern cyberwarfare, in particular, its effects on AI automation and data weaponisation throughout the 2023 Nigerian presidential election. We have analysed the ways by which AI is redefining cyberspace operations and found both the potential benefits of the use of AI in such operations and the very serious security and ethical challenges brought forth. Using a four-step methodology, we identified current trends in AI and cyberwarfare, harvested and analysed over six million tweets relevant to the Nigerian election, and set the foundation for building an AI model whose objective is to mimic Nigerian communication styles to generate fake content. Our findings indicate that the potential of AI-generated disinformation to manipulate election results is downright terrifying. This means that policymakers must understand and regulate the use of AI in cyber warfare for national security protection. Keywords: AI, Cyberwarfare, AI Automation, Data Weaponisation Proceedings Citation Format Hamzat Lateef (CISM), Birma Markus Yakubu & Abdulqadri Afolabi (2024): AI in Cyberwarfare: Impact of AI Automation and Data Weaponisation. Proceedings of the Cyber Secure Nigeria Conference held at The Ballroom Center, Central Business District, Federal Capital Territory, Abuja, Nigeria - 25th - 26th September, 2024. Pp 71-82. https://cybersecurenigeria.org/conference-proceedings/volume-1-2024/ dx.doi.org/10.22624/AIMS/CSEAN-SMART2024P7

Advances in Multidisciplinary & Scientific Research Journal PublicationVol. 3(1)
Openalex Percentile: Top 65%
Advanced Malware Detection Techniques
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AI in Cyberwarfare: Impact of AI Automation and Data Weaponisation — Lateef Hamzat, Markus Yakubu Birma, et al. · Advances in Multidisciplinary & Scientific Research Journal Publication (2024) | TGRS Research Map | TGRS