Research Challenges and Security Threats to AI-Driven 5G Virtual Emotion Applications Using Autonomous Vehicles, Drones, and Smart Devices
Department
Computer Science
Document Type
Article
Publication Date
11-1-2020
Abstract
© 1986-2012 IEEE. 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.
Journal Title
IEEE Network
Journal ISSN
08908044
Volume
34
Issue
6
First Page
288
Last Page
294
Digital Object Identifier (DOI)
10.1109/MNET.011.2000245