SMART VEHICLES, AUTOMOTIVE CYBER SECURITY & SOFTWARE SAFETY APPLIED TO LEADER-FOLLOWER (LF) AND AUTONOMOUS CONVOY OPERATIONS (ACO)

2024-01-3662

11/15/2024

Features
Event
2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium
Authors Abstract
Content
ABSTRACT

FEV North America will discuss application of advanced automotive cybersecurity to smart vehicle projects, - software safety - software architecture and how it applies to similar features and capabilities across the fleet of DoD combat and tactical vehicles. The analogous system architectures of automotive and military vehicles with advanced architectures, distributed electronic control units, connectivity to networks, user interfaces and maintenance networks and interface points clearly open an opportunity for DoD to leverage the technology techniques, hardware, software, management and human resources to drive implementation costs down while implementing fleet modifications, infrastructure methodology and many of the features of the automotive cyber security spectrum.

Two of the primary automotive and DoD subsystems most relevant to Cyber Security threat and protection are the automotive connected vehicles analogous to the DoD Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance (C4ISR) systems; and the extensive employed automotive CanBus parallels the DoD GV electrical power; intra-vehicle networks; data processing; and electrical components. These DoD subsystems can gain many Cyber benefits to achieve at minimum cost and schedule to desired examples of Cross-domain guards, Security Infrastructure, Security applications, Vehicle authentication and authorization, Secure networks, and Vehicle cyber security threats.

Meta TagsDetails
DOI
https://doi.org/10.4271/2024-01-3662
Pages
7
Citation
Chhawri, S., Tarnutzer, S., Tasky, T., and Lane, G., "SMART VEHICLES, AUTOMOTIVE CYBER SECURITY & SOFTWARE SAFETY APPLIED TO LEADER-FOLLOWER (LF) AND AUTONOMOUS CONVOY OPERATIONS (ACO)," SAE Technical Paper 2024-01-3662, 2024, https://doi.org/10.4271/2024-01-3662.
Additional Details
Publisher
Published
Nov 15
Product Code
2024-01-3662
Content Type
Technical Paper
Language
English