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The 2022 COMVEC™ technical program focused on the commercial vehicle industry's crucial topics such as electrification, connectivity, off-highway, cybersecurity, autonomous and more!

Join other young professionals in the mobility industry at the COMVEC™ meeting.

Annual conference government policy, regulatory makers, automotive industry neutral forum discuss US government regulation, technology, customer acceptance future vehicle design. industry event safety, emission control, fuel efficiency, automated vehicles.

COMVEC™ conference is the only North American event that addresses vehicles and equipment spanning on-highway, off-highway, agricultural, construction, industrial, military, and mining sectors.

The 2022 COMVEC™ technical program focused on the commercial vehicle industry's crucial topics such as electrification, connectivity, off-highway, cybersecurity, autonomous and more!

The 2022 COMVEC™ technical program focused on the commercial vehicle industry's crucial topics such as electrification, connectivity, off-highway, cybersecurity, autonomous and more!

It is essential to note that cybersecurity threats not only arise from inherent protocol defects but also consider software implementation vulnerabilities.

A significant milestone in advancing cybersecurity within the automotive industry is the release of the first international standard for automotive cybersecurity ISO/SAE 21434:2021 ‘Road Vehicles — Cybersecurity Engineering’. A recently published type approval regulation for automotive cybersecurity (UN R155) is also tailored for member countries of the UNECE WP.29 alliance. ...Thus, the challenges for embedded automotive systems engineers are increasing while frameworks, tools and shared concepts for cybersecurity engineering and training are scarce. Hence, cybersecurity training in the automotive domain necessitates an understanding of domain-specific intricacies and the unique challenges at the intersection of cybersecurity and embedded systems engineering, elevating the need for improving the skill set and knowledge of automotive cybersecurity engineers. ...Hence, cybersecurity training in the automotive domain necessitates an understanding of domain-specific intricacies and the unique challenges at the intersection of cybersecurity and embedded systems engineering, elevating the need for improving the skill set and knowledge of automotive cybersecurity engineers. This paper delves into an automotive cybersecurity training concept aimed at enhancing the proficiency of development engineers.

Since the early 1990’s, commercial vehicles have suffered from repeated vulnerability exploitations that resulted in a need for improved automotive cybersecurity. This paper outlines the strategies and challenges of implementing an automotive Zero Trust Architecture (ZTA) to secure intra-vehicle networks. ...This research successfully met the four requirements and demonstrated that using ZT principles in an on-vehicle network greatly improved the cybersecurity posture with manageable impact to system performance and deployment.

UNECE R155 explicitly references ISO/SAE 21434 and mandates a certified cybersecurity management system (CSMS) as a prerequisite for automotive manufacturers to achieve vehicle type approval and sell new vehicle types. ...However, the gap in the CSMS framework is a lack in a standardized system that provides guidance and common criteria for automakers to measure a vehicle’s level of compliance and compute a publicly accepted cybersecurity rating. To help establish increased consumer confidence, OEMs and smart mobility stakeholders could take additional proactive steps to ensure the safety and security of their products. ...This paper addresses the above requirement and discusses the cybersecurity rating framework (CSRF) that could establish a framework for rating vehicle cybersecurity by standardizing the measurement criteria, parameter vectors, process, and tools.

Abstract In the pursuit of advancing autonomous vehicles (AVs), data-driven algorithms have become pivotal in replacing human perception and decision-making. While deep neural networks (DNNs) hold promise for perception tasks, the potential for catastrophic consequences due to algorithmic flaws is concerning. A well-known incident in 2016, involving a Tesla autopilot misidentifying a white truck as a cloud, underscores the risks and security vulnerabilities. In this article, we present a novel threat model and risk assessment (TARA) analysis on AV data storage, delving into potential threats and damage scenarios. Specifically, we focus on DNN parameter manipulation attacks, evaluating their impact on three distinct algorithms for traffic sign classification and lane assist.

Abstract The secure boot has successfully protected systems from executing untrusted software (SW), but low-power controllers lack sufficient time to check every memory cell while satisfying real-time functional safety requirements. Automotive controllers need to maintain security through multiple cycles of remote, unsupervised operation and safely reach a secure state when an anomaly is detected. To accelerate the boot time, we propose Sliced Secure Boot: build fingerprints by slicing orthogonally through memory blocks, protect each cell with a reusable fingerprint using a reproducible pattern with sufficient entropy, and randomly check one fingerprint pattern during boot. We do not claim that sampling offers equivalent protection to exhaustive checks but demonstrate that careful sampling can provide a sufficient level of detection while maintaining compatibility with both startup time and functional safety requirements.

Headliners from Las Vegas Big reveals abounded at the triennial CONEXPO trade show. Following are some of the most notable unveilings from the desert. Cat doubles down on diesel with new C13D platform Deere pursues electric construction machines and charging infrastructure JCB debuts clean-sheet hydrogen combustion engine Volvo CE unveils electric asphalt compactor, announces NA arrival of L350H loader Honda reveals next-gen Autonomous Work Vehicle Deere 3D-prints fuel valves for tractors HP's binder jetting technology and GKN's manufacturing expertise helped John Deere realize its first 3D-printed metal part for mass production. Returning to the SAE presidency for 2023 Setting a "prudently aggressive" mindset in advancing SAE's goals in the mobility ecosystem.

With the increasing connectivity and complexity of modern automobiles, cybersecurity has become one of the most important properties of a vehicle. Various strategies have been proposed to enhance automotive cybersecurity. ...Various strategies have been proposed to enhance automotive cybersecurity. Digital twin (DT), regarded as one of the top 10 strategic technology trends by Gartner in 2018 and 2019, establishes digital representations in a virtual world and raises new ideas to benefit real-life objects. ...In this paper, we explored the possibility of using digital twin technology to improve automotive cybersecurity. We designed two kinds of digital twin models, named mirror DT and autonomous DT, and corresponding environments to support cybersecurity design, development, and maintenance in an auto’s lifecycle, as well as technique training.

The new generation vehicles these days are managed by networked controllers. A large portion of the networks is planned with more security which has recently roused researchers to exhibit various attacks against the system. This paper talks about the liabilities of the Controller Area Network (CAN) inside In-vehicle communication protocol and a few potentials that could take due advantage of it. Moreover, this paper presents a few security measures proposed in the present examination status to defeat the attacks. In any case, the fundamental objective of this paper is to feature a comprehensive methodology known as Intrusion Detection System (IDS), which has been a significant device in getting network data in systems over many years. To the best of our insight, there is no recorded writing on a through outline of IDS execution explicitly in the CAN transport network system.

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.

Using a wireless medium for tractor-trailer communication will bring new cybersecurity challenges and requirements which requires new development and lifecycle considerations.

CAN bus network proved to be efficient and dynamic for small compact cars as well as heavy-duty vehicles (HDV). However, HDVs are more susceptible to malicious attacks due to lack of security in their intra-vehicle communication protocols. SAE proposed a new standard named J1939-91C for CAN-FD networks which provides methods for establishing trust and securing mutual messages with optional encryption. J1939-91C ensures message authenticity, integrity, and confidentiality by implementing complex cryptographic operations including hash functions and random key generation. In this paper, the three main phases of J1939-91C, i.e., Network Formation, Rekeying, and Message Exchange, are simulated and tested on Electronic Control Units (ECUs) supporting CAN-FD network. Numerous test vectors were generated and validated to support SAE J1939-91C. The mentioned vectors were produced by simulating different encryption and hashing algorithms with variable message and key lengths.