Artificial intelligence for cybersecurity: Literature review and future research directions

作者：Ramanpreet Kaur, Dušan Gabrijelčič, Tomaž Klobučar · 发表于：Information Fusion · 年份：2023 · DOI：10.1016/j.inffus.2023.101804 · 被引用次数：600 · 研究领域：Network Security and Intrusion Detection、Software System Performance and Reliability、Smart Grid Security and Resilience

Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate repetitive tasks, accelerate threat detection and response, and improve the accuracy of their actions to strengthen the security posture against various security issues and cyberattacks. This article presents a systematic literature review and a detailed analysis of AI use cases for cybersecurity provisioning. The review resulted in 2395 studies, of which 236 were identified as primary. This article classifies the identified AI use cases based on a NIST cybersecurity framework using a thematic analysis approach. This classification framework will provide readers with a comprehensive overview of the potential of AI to improve cybersecurity in different contexts. The review also identifies future research opportunities in emerging cybersecurity application areas, advanced AI methods, data representation, and the development of new infrastructures for the successful adoption of AI-based cybersecurity in today's era of digital transformation and polycrisis.