Abstract
The implementation of connected and automated vehicles promises increased safety and efficiency by leveraging advances in technology. With this new technology, some vulnerabilities could lead to cyberattacks. Without a focus on cybersecurity, vehicles may be attacked, reducing the efficiency and safety advantages promised through technological advancement. This research performed an impact analysis on traffic operations of cyberattacks on Vehicular Ad-Hoc Networks (VANET). A roadway traffic and communications simulation was created using the Veins modeling platform that incorporated V2X communication and could model Denial of Service (DoS) and Man in the Middle (MITM) attacks on an urban street network. The number of compromised intersections and attack success rate were varied to understand the impact of each attack scenario. Each attack’s worst-case scenario resulted in an over 20% increase in travel time delay per vehicle as the attack severity increased. Also, the attacks had a wide variation in delay upon the transportation network, decreasing the travel time reliability and the ability for road users to predict delay on their journey.
Highlights
Connected and Automated Vehicles (CAV) are currently one of the main focuses of the transportation research community, with many Original Equipment Manufacturers (OEM) and technology companies seeking to deploy advanced vehicles into the consumer market sooner than later
This paper focuses on the impact of Denial of Service (DoS) attacks and Man in the Middle (MITM) attacks on traffic operations
The main measure of effectiveness (MOE) used to study the impact of cyberattacks on vehicle traffic flow was the travel time delay introduced to the system
Summary
Connected and Automated Vehicles (CAV) are currently one of the main focuses of the transportation research community, with many Original Equipment Manufacturers (OEM) and technology companies seeking to deploy advanced vehicles into the consumer market sooner than later. CAVs will be able to communicate with other vehicles through Vehicle-to-Vehicle (V2V) communication and Road-Side Units (RSU) through Vehicle-to-Infrastructure (V2I) communication These two sources of communication will allow CAVs to have continuous awareness and an updated map of the road landscape around them, alerting them to crashes or congestion that may be occurring downstream (Intelligent Transportation Systems - ITS Program Overview, 2021). The performance of these vehicles is widely believed to reduce crashes, deaths, congestion, and emissions in the future. The introduction of this emerging technology presents a new challenge to vehicles in cyberattacks
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