Artificial intelligence for cybersecurity: Literature review and future research directions

被引：121

作者：

Kaur, Ramanpreet ^{[1
]}

Gabrijelcic, Dusan ^{[1
]}

Klobucar, Tomaz ^{[1
]}

机构：

[1] Jozef Stefan Inst, Lab Open Syst & Networks, Ljubljana, Slovenia

来源：

INFORMATION FUSION | 2023年 / 97卷

关键词：

Detection; Protection; Response; Recovery; Identify; Learning; Cyberattacks; Taxonomy; CYBER-PHYSICAL SYSTEMS; INTERNET-OF-THINGS; DECISION-SUPPORT; GENERATION; NETWORK; VULNERABILITIES; CLASSIFICATION; CYBERATTACKS; METHODOLOGY; INTRUSIONS;

D O I：

10.1016/j.inffus.2023.101804

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：29

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