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

Authors :
Kim, Hyunbum
Ben-Othman, Jalel
Mokdad, Lynda
Son, Junggab
Li, Chunguo
Source :
IEEE Network. Nov/Dec2020, Vol. 34 Issue 6, p288-294. 7p.
Publication Year :
2020

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08908044
Volume :
34
Issue :
6
Database :
Academic Search Index
Journal :
IEEE Network
Publication Type :
Academic Journal
Accession number :
147401217
Full Text :
https://doi.org/10.1109/MNET.011.2000245