Security in 5G Based Vehicular Communication Networks

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Brought to you in a collaborative effort by IEEE Nebraska's Computer Technical Chapter and Communications Technical Chapter, Dr. Qian will discuss his research on 5G based vehicular communication networks.

Abstract

Vehicular networks are susceptible to various attacks from malicious nodes within a network. The collaborative misbehavior detection system can be used to detect these attacks. However, in a collaborative misbehavior detection system, an attacker may send false feedback which affects the detection accuracy. A trust model can be used to stimulate vehicles to send true feedbacks. However, an attacker can take advantage of weak or strong reputation update methods. A dynamic trust can be used to stimulate vehicles to send true feedbacks. In this talk, we present our latest research result on misbehavior detection in 5G based vehicular communication networks, by introducing a deep reinforcement learning based dynamic reputation update. In the proposed method, feedbacks from vehicles are combined in vehicular edge computing (VEC) servers using Dempster-Shafer theory and the results are used to predict the average number of true messages. VEC then uses deep reinforcement learning to determine the optimum reputation update policy to stimulate vehicles to send true feedbacks. In addition, through extensive simulations, we show that the proposed dynamic reputation policy is better in terms of the average number of true feedbacks compared to the existing reputation update policy.

 

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  • Date: 26 Jan 2021
  • Time: 05:30 PM to 06:30 PM
  • All times are (GMT-06:00) US/Central
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  • Lincoln, Nebraska
  • United States

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  • Co-sponsored by Hamid Vakilzadian
  • Starts 21 December 2020 09:02 AM
  • Ends 25 January 2021 11:55 PM
  • All times are (GMT-06:00) US/Central
  • No Admission Charge


  Speakers

Dr. Yi Qian Dr. Yi Qian

Biography:

Yi Qian received a Ph.D. degree in electrical engineering from Clemson University, South Carolina. He is currently a professor in the Department of Electrical and Computer Engineering, University of Nebraska-Lincoln (UNL). Prior to joining UNL, he worked in the telecommunications industry, academia, and government. His research interests include wireless communication networks and systems, and information and communication network security. Prof. Yi Qian is a Fellow of IEEE. He was previously Chair of the IEEE Technical Committee for Communications and Information Security. He was the Technical Program Chair for IEEE International Conference on Communications 2018. He serves on the Editorial Boards of several international journals and magazines, including as the Editor-in-Chief for IEEE Wireless Communications. He was a Distinguished Lecturer for IEEE Vehicular Technology Society. He is currently a Distinguished Lecturer for IEEE Communications Society.





Agenda

Seminar, followed by Q&A session.