Research Challenges and Security Threats to AI-Driven 5G Virtual Emotion Applications Using Autonomous Vehicles, Drones, and Smart Devices

被引:59
|
作者
Kim, Hyunbum [1 ]
Ben-Othman, Jalel [2 ,3 ]
Mokdad, Lynda [4 ]
Son, Junggab [5 ]
Li, Chunguo [6 ]
机构
[1] Incheon Natl Univ, Dept Embedded Syst Engn, Incheon, South Korea
[2] Univ Paris Saclay, Paris, France
[3] Univ Sorbonne Paris North, Paris, France
[4] Univ Paris Est, Paris, France
[5] Kennesaw State Univ, Dept Comp Sci, Kennesaw, GA 30144 USA
[6] Southeast Univ, Nanjing, Peoples R China
来源
IEEE NETWORK | 2020年 / 34卷 / 06期
关键词
5G mobile communication; Autonomous vehicles; Security; Smart devices; Drones; Smart cities; NETWORKING; SYSTEM;
D O I
10.1109/MNET.011.2000245
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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 5G-enabled components including autonomous vehicles, smart UAVs or drones. Also, we describe how to perform those applications in public areas and private areas with different perspectives. Then, we carefully deal with research challenges, security threats and issues according to the proposed 5G-i-VEmoSYS.
引用
收藏
页码:288 / 294
页数:7
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