Year
2024
Degree Name
Doctor of Philosophy
Department
School of Electrical, Computer and Telecommunications Engineering
Abstract
The progress of Connected Automated Vehicles (CAV) as an important part in Cyber-Physical Systems has revolutionized the framework of transportation. Vehicle platoons are a series of interconnected CAVs that significantly enhances safety, efficiency, travel distance and response time. It can also reduce traffic congestion, mitigate pollution, and improve riding comfortable of passengers. However, with the development of CAV technologies, the transmission of information between vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) is vulnerable to attacks by attackers. This may cause potential threats to network security. These platoons are exposed to cyber-attacks, which need further research. This thesis addresses the vulnerability of CAV platoons to Denial of Service (DoS) attacks and ensures the security of the platoon under the attack. This research mainly focuses on two aspects for Cooperative Adaptive Cruise Control (CACC) platoons under DoS attacks, which are detection mechanisms and resilience mechanisms respectively.
Recommended Citation
Zhang, Xiaofei, Detection and Resilience Mechanisms Against Cyber-attacks in Connected Automated Vehicle Platoons, Doctor of Philosophy thesis, School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, 2024. https://ro.uow.edu.au/theses1/1831
FoR codes (2008)
0902 AUTOMOTIVE ENGINEERING, 0906 ELECTRICAL AND ELECTRONIC ENGINEERING, 0913 MECHANICAL ENGINEERING
Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.