Artificial intelligence in cyber security: research advances, challenges, and opportunities

被引：79

作者：

Zhang, Zhimin ^{[1
]}

Ning, Huansheng ^{[1
,2
]}

Shi, Feifei ^{[1
]}

Farha, Fadi ^{[1
]}

Xu, Yang ^{[1
]}

Xu, Jiabo ^{[3
]}

Zhang, Fan ^{[1
]}

Choo, Kim-Kwang Raymond ^{[4
]}

机构：

[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China

[2] Beijing Engn Res Ctr Cyberspace Data Anal & Appli, Beijing 100083, Peoples R China

[3] Xinjiang Inst Engn, Sch Informat Engn, Xinjiang, Peoples R China

[4] Univ Texas San Antonio, Dept Informat Syst & Cyber Secur, San Antonio, TX 78249 USA

来源：

ARTIFICIAL INTELLIGENCE REVIEW | 2022年 / 55卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Cyber Security; Artificial Intelligence; Security Methods; Human-in-the-Loop; AUTHENTICATION; SYSTEMS;

D O I：

10.1007/s10462-021-09976-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In recent times, there have been attempts to leverage artificial intelligence (AI) techniques in a broad range of cyber security applications. Therefore, this paper surveys the existing literature (comprising 54 papers mainly published between 2016 and 2020) on the applications of AI in user access authentication, network situation awareness, dangerous behavior monitoring, and abnormal traffic identification. This paper also identifies a number of limitations and challenges, and based on the findings, a conceptual human-in-the-loop intelligence cyber security model is presented.

引用

页码：1029 / 1053

页数：25

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