作者
Hyunbum Kim, Jalel Ben-Othman, Lynda Mokdad, Junggab Son, Chunguo Li
发表日期
2020/10/12
来源
IEEE network
卷号
34
期号
6
页码范围
288-294
出版商
IEEE
简介
Thanks to comprehensive potential with new access technology, massive bandwidths and ultrahigh reliability, it is highly expected that recent 5G network and beyond 5G network (B5G) will fundamentally influence various autonomous systems, applications and devices. Also, Artificial Intelligence (AI) is expanding its applicability to numerous existing and next generation systems and research branches. Conversely, AI can be utilized to threaten 5G-enabled components as well as to attack AI-based systems and machine learning algorithms. So, it is indispensable to investigate new AI-based security threats and solutions in 5G-enabled smart cities. In this article, we introduce AI-driven 5G integrated virtual emotion system, called 5G-I-VEmoSYS, which covers AI-VEmoBAR, AI-VEmoFLOW, and AI-VEmoMAP as applications in 5G environments. First, we explain how to operate those AI-driven promising applications in …
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