Publicação
The Dark Side of Artificial Intelligence: AI-Driven Cyber Attacks
| Resumo: | The continuous evolution of Artificial Intelligence (AI) has directly impacted the growth of innovation and automation. Unfortunately, this evolution also brings negative effects due to malicious use. Threat actors are constantly changing and improving their attack strategies, emphasizing AI-driven techniques in the attack process. These techniques can be used in conjunction with conventional methods to cause greater damage. This study conducts a systematic literature review to explore existing articles, reports, and empirical studies on AIbased cyber attacks. Out of 104 identified studies, 15 were selected based on relevance and quality criteria. Despite several studies on AI and security, researchers have not sufficiently summarized AI-based cyber attacks to understand adversaries' actions and develop proper defenses. The review aims to identify imminent risks, complex challenges, and potential future scenarios regarding AI-driven cyber attacks. Additionally, it investigates methods for mitigation and countermeasures to defend against such attacks. This comprehensive approach fills the gap in existing literature, providing a deeper understanding of AI-powered cyber threats and offering a framework for future defense strategies. |
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| Autores principais: | Rego, Igor Marcelo de Sá |
| Assunto: | Artificial Intelligence Cybersecurity Cyber Attacks AI-Driven Cyber Attacks Cyber Defense SDG 4 - Quality education SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 16 - Peace, justice and strong institutions SDG 17 - Partnerships for the goals |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| Resumo: | The continuous evolution of Artificial Intelligence (AI) has directly impacted the growth of innovation and automation. Unfortunately, this evolution also brings negative effects due to malicious use. Threat actors are constantly changing and improving their attack strategies, emphasizing AI-driven techniques in the attack process. These techniques can be used in conjunction with conventional methods to cause greater damage. This study conducts a systematic literature review to explore existing articles, reports, and empirical studies on AIbased cyber attacks. Out of 104 identified studies, 15 were selected based on relevance and quality criteria. Despite several studies on AI and security, researchers have not sufficiently summarized AI-based cyber attacks to understand adversaries' actions and develop proper defenses. The review aims to identify imminent risks, complex challenges, and potential future scenarios regarding AI-driven cyber attacks. Additionally, it investigates methods for mitigation and countermeasures to defend against such attacks. This comprehensive approach fills the gap in existing literature, providing a deeper understanding of AI-powered cyber threats and offering a framework for future defense strategies. |
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