Leveraging Aviation Risk Models to Combat Cybersecurity Threats in Vehicular Networks

• Published in: Information (Basel) Vol. 12; no. 10; p. 390
• Main Authors: Ebert, Jonathan, Newton, Ohad, O’Rear, Jeffery, Riley, Scott, Park, Jaehong, Gupta, Maanak
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-10-2021
• Subjects: Automation; Aviation; aviation risk model; Communication; Connectivity; Cybersecurity; Hazard identification; Infrastructure; Risk assessment; Risk management; risk model; Roads & highways; Sensors; Software reliability; Threats; Transportation industry; Transportation networks; Transportation planning; Vehicle-to-infrastructure; Vehicles; vehicular network; vehicular network risk model
• ISSN: 2078-2489; 2078-2489
• DOI: 10.3390/info12100390

The rapidly developing technology and lack of standards in the transportation industry for the proposed Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Vehicle-to-Everything (V2X) networks, which all vehicles will operate under, drives concern about information validity and authenticity due to the risk of erroneous or malicious information being injected into a vehicular network (VN). In this paper, we apply a risk management process to a vehicular network that will identify hazards and possible controls that can lower their risk. After researching and reviewing various technologies along with several risk models, we have developed a basic framework for assessing and assigning risk through a phased method that leads to input for our developed model.