Refine Your Search

Topic

Search Results

Journal Article

Cybersecurity Considerations for Heavy Vehicle Event Data Recorders

2018-12-14
Abstract Trust in the digital data from heavy vehicle event data recorders (HVEDRs) is paramount to using the data in legal contests. Ensuring the trust in the HVEDR data requires an examination of the ways the digital information can be attacked, both purposefully and inadvertently. The goal or objective of an attack on HVEDR data will be to have the data omitted in a case. To this end, we developed an attack tree and establish a model for violating the trust needed for HVEDR data. The attack tree provides context for mitigations and also for functional requirements. A trust model is introduced as well as a discussion on what constitutes forensically sound data. The main contribution of this article is an attack tree-based model of both malicious and accidental events contributing to compromised event data recorder (EDR) data. A comprehensive list of mitigations for HVEDR systems results from this analysis.
Technical Paper

Challenges with the Introduction of X-By-Wire Technologies to Passenger Vehicles and Light Trucks in regards to Functional Safety, Cybersecurity and Availability

2023-04-11
2023-01-0581
Classic vehicle production had limitations in bringing the driving commands to the actuators for vehicle motion (engine, steering and braking). Steering columns, hydraulic tubes or steel cables needed to be placed between the driver and actuator. Change began with the introduction of e-gas systems. Mechanical cables were replaced by thin, electric signal wires. The technical solutions and legal standardizations for addressing the steering and braking systems, were not defined at this time. Today, OEMs are starting E/E-Architecture transformations for manifold reasons and now have the chance to remove the long hydraulic tubes for braking and the solid metal columns used for steering. X-by-wire is the way forward and allows for higher Autonomous Driving (AD) levels for automated driving vehicles. This offers new opportunities to design the vehicle in-cabin space. This paper will start with the introduction of x-by-wire technologies.
Magazine

SAE Truck & Off-Highway Engineering: October 2018

2018-10-01
Quotes from COMVEC 2018 Industry leaders spoke extensively about all things autonomous-ADAS, big data, connectivity, cybersecurity, machine learning-at the annual SAE event. Here's some of what they had to say. Fuel-cell Class 8-take 2.0 With a longer-range and more-refined fuel cell-powered heavy-duty truck, Toyota aims to eventually eliminate emissions from trucks serving increasingly congested California ports. ...Editorial Bring innovation, disruption in-house Adding 3D printing to design, manufacturing processes Upstream devoted to truck cybersecurity threats Jacobs employs cylinder deactivation in HD engines to lower CO2, NOx Emissions reductions continue to disrupt CV industry Mercedes doubles down on electric vans and buses, considers fuel cells Off-road bus from Torsus transports to hard-to-reach places Q&A Perkins pursues plug-and-play connectivity
Magazine

SAE Truck & Off-Highway Engineering: October 2021

2021-10-07
Defending the heavy-vehicle cyber domain Cybersecurity experts explained at SAE COMVEC 2021 how they're preparing the next generation of thwarters to protect increasingly electrified, connected and automated trucks.
Magazine

SAE Truck & Off-Highway Engineering: August 2017

2017-08-03
Connected commercial vehicles bring cybersecurity to the fore Connectivity, automation and electrification will largely drive vehicle developments in the coming years, according to experts presenting at the revamped SAE COMVEC 17.
Standard

CAN FD Data Link Layer

2021-03-22
HISTORICAL
J1939-22_202103
The flexible data rate capability in CAN (commonly called CAN FD) is implemented as a transport layer in order to allow for functional safety, cybersecurity, extended transport capability, and backward compatibility with SAE J1939DA.
Standard

SAE J1939 Network Security

2017-03-06
WIP
J1939-91
This document will provide recommendations to vehicle manufacturers and component suppliers in securing the SAE J1939-13 connector interface from the cybersecurity risks posed by the existence of this connector.
Standard

Security Recommendations for Interfaces to On-vehicle Networks

2021-08-06
WIP
J1939-91A
This document will provide recommendations to vehicle manufacturers and component suppliers in securing the SAE J1939 network from the cybersecurity risks. It is recognized that not every application of SAE J1939 networks requires the same level of cyber security measures.
Standard

CAN FD Data Link Layer

2023-04-25
WIP
J1939-22
The flexible data rate capability in CAN (commonly called CAN FD) is implemented as a transport layer in order to allow for functional safety, cybersecurity, extended transport capability, and backward compatibility with SAE J1939DA.
Journal Article

Zero-Day Attack Defenses and Test Framework for Connected Mobility ECUs

2021-04-06
2021-01-0141
Recent developments in the commercialization of mobility services have brought unprecedented connectivity to the automotive sector. While the adoption of connected features provides significant benefits to vehicle owners, adversaries may leverage zero-day attacks to target the expanded attack surface and make unauthorized access to sensitive data. Protecting new generations of automotive controllers against malicious intrusions requires solutions that do not depend on conventional countermeasures, which often fall short when pitted against sophisticated exploitation attempts. In this paper, we describe some of the latent risks in current automotive systems along with a well-engineered multi-layer defense strategy. Further, we introduce a novel and comprehensive attack and performance test framework which considers state-of-the-art memory corruption attacks, countermeasures and evaluation methods.
Technical Paper

Evaluating Trajectory Privacy in Autonomous Vehicular Communications

2019-04-02
2019-01-0487
Autonomous vehicles might one day be able to implement privacy preserving driving patterns which humans may find too difficult to implement. In order to measure the difference between location privacy achieved by humans versus location privacy achieved by autonomous vehicles, this paper measures privacy as trajectory anonymity, as opposed to single location privacy or continuous privacy. This paper evaluates how trajectory privacy for randomized driving patterns could be twice as effective for autonomous vehicles using diverted paths compared to Google Map API generated shortest paths. The result shows vehicles mobility patterns could impact trajectory and location privacy. Moreover, the results show that the proposed metric outperforms both K-anonymity and KDT-anonymity.
Standard

Diagnostic Link Connector Security

2022-10-04
CURRENT
J3138_202210
This document describes a set of recommended actions to take to increase the likelihood of safe vehicle operation when a device (external test equipment, data collection device, etc.) whose normal operation has been compromised by a source external to the vehicle is connected to the vehicle’s diagnostic system. The term “diagnostic system” is intended to be a generic way to reference all the different ways that diagnostic commands might be injected into the system. The guidance in this document is intended to improve security without significantly impacting the ability for franchised dealer or independent aftermarket external test tools to perform legitimate diagnosis and maintenance functions. The goal is that intrusive services are only allowed to be performed when the vehicle is in a Safe State such that even if the intrusive service were to be initiated with adversarial intent the consequences of such a service would still be acceptable.
X