AI for Beyond 5G Networks: A Cyber-Security Defense or Offense Enabler?

被引：67

作者：

Benzaid, Chafika ^{[1
]}

Taleb, Tarik ^{[2
,3
,4
]}

机构：

[1] Aalto Univ, MOSAIC Lab, Espoo, Finland

[2] Aalto Univ, Espoo, Finland

[3] Univ Oulu, Oulu, Finland

[4] Sejong Univ, Seoul, South Korea

来源：

IEEE NETWORK | 2020年 / 34卷 / 06期

基金：

芬兰科学院; 欧盟地平线“2020”;

关键词：

5G mobile communication; Authentication; Security management; Next generation networking; Machine learning;

D O I：

10.1109/MNET.011.2000088

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Artificial intelligence (Ai) is envisioned to play a pivotal role in empowering intelligent, adaptive and autonomous security management in 5G and beyond networks, thanks to its potential to uncover hidden patterns from a large set of time-varying multi-dimensional data, and deliver faster and accurate decisions. Unfortunately, Ai's capabilities and vulnerabilities make it a double-edged sword that may jeopardize the security of future networks. This article sheds light on how Ai may impact the security of 5G and its successor from its posture of defender, offender or victim, and recommends potential defenses to safeguard from malevolent Ai while pointing out their limitations and adoption challenges.

引用

页码：140 / 147

页数：8

共 18 条

[1] Defending from Stealthy Botnets Using Moving Target Defenses [J].