Argus, a global leader in automotive cybersecurity, has upgraded its stand-alone Fleet Protection backend platform and is now providing continuous live monitoring of both automotive and commercial aircraft fleets.
Abstract Heavy vehicles are essential for the modern economy, delivering critical food, supplies, and freight throughout the world. Connected heavy vehicles are also driven by embedded computers that utilize internal communication using common standards. However, some implementations of the standards leave an opening for a malicious actor to abuse the system. One such abuse case is a cyber-attack known as the “Address Claim Attack.” Proposed in 2018, this attack uses a single network message to disable all communication to and from a target electronic control unit, which may have a detrimental effect on operating the vehicle. This article demonstrates the viability of the attack and then describes the implementation of a solution to prevent this attack in real time without requiring any intervention from the manufacturer of the target devices. The defense technique uses a bit-banged Controller Area Network (CAN) filter to detect the attack.
Abstract Identity-Anonymized CAN (IA-CAN) protocol is a secure CAN protocol, which provides the sender authentication by inserting a secret sequence of anonymous IDs (A-IDs) shared among the communication nodes. To prevent malicious attacks from the IA-CAN protocol, a secure and robust system error recovery mechanism is required. This article presents a central management method of IA-CAN, named the IA-CAN with a global A-ID, where a gateway plays a central role in the session initiation and system error recovery. Each ECU self-diagnoses the system errors, and (if an error happens) it automatically resynchronizes its A-ID generation by acquiring the recovery information from the gateway. We prototype both a hardware version of an IA-CAN controller and a system for the IA-CAN with a global A-ID using the controller to verify our concept.
As an annual subscription, the Wiley Cyber Security Collection Add-On is available for purchase along with one or both of the following: Wiley Aerospace Collection Wiley Automotive Collection The titles from the Wiley Cyber Security Collection are included in the SAE MOBILUS® eBook Package. Titles: Network Forensics Penetration Testing Essentials Security in Fixed and Wireless Networks, 2nd Edition The Network Security Test Lab: A Step-by-Step Guide Risk Centric Threat Modeling: Process for Attack Simulation and Threat Analysis Applied Cryptography: Protocols, Algorithms and Source Code in C, 20th Anniversary Edition Computer Security Handbook, Set, 6th Edition Threat Modeling: Designing for Security Other available Wiley collections: Wiley SAE MOBILUS eBook Package Wiley Aerospace Collection Wiley Automotive Collection Wiley Computer Systems Collection Add-On (purchasable with the Wiley Aerospace Collection and/or the Wiley Automotive Collection)
Connectivity and autonomy in vehicles promise improved efficiency, safety and comfort. The increasing use of embedded systems and the cyber element bring with them many challenges regarding cyberattacks which can seriously compromise driver and passenger safety. Beyond penetration testing, assessment of the security vulnerabilities of a component must be done through the design phase of its life cycle. This paper describes the development of a benchtop testbed which allows for the assurance of safety and security of components with all capabilities from Model-in-loop to Software-in-loop to Hardware-in-loop testing. Environment simulation is obtained using the AV simulator, CARLA which provides realistic scenarios and sensor information such as Radar, Lidar etc. MATLAB runs the vehicle, powertrain and control models of the vehicle allowing for the implementation and testing of customized models and algorithms.
This paper describes a system-level view of a fully automated transit system comprising a fleet of automated vehicles (AVs) in driverless operation, each with an SAE level 4 Automated Driving System, along with its related safety infrastructure and other system equipment. This AV system-level control is compared to the automatic train control system used in automated guideway transit technology, particularly that of communications-based train control (CBTC). Drawing from the safety principles, analysis methods, and risk assessments of CBTC systems, comparable functional subsystem definitions are proposed for AV fleets in driverless operation. With the prospect of multiple AV fleets operating within a single automated mobility district, the criticality of protecting roadway junctions requires an approach like that of automated fixed-guideway transit systems, in which a guideway switch zone “interlocking” at each junction location deconflicts railway traffic, affirming safe passage.
Electric machines find their niche Smaller machines working in cities are particularly ripe for electrification, but most off-highway applications will retain the internal-combustion engine. Big data, big benefits Data mining helps users and equipment developers use data from on-vehicle sensors to work more efficiently. Data connectivity in harsh environments Ensuring high-speed data transmission requires OEM designers to think more about components, placement and the impact of environmental conditions early in design. Trucks with intuition Perceptive Automata partners with Volvo Trucks to demonstrate AI technology that can determine when pedestrians will cross the road. Change is afoot Cummins and its CTO help focus the 2019 SAE COMVEC on the fast-shifting technology landscape that faces both on- and off-highway sectors. Editorial AI, ADAS & AVs-oh my!
Transportation departments are under-going a dramatic transformation, shifting from organizations focused primarily on building roads to a focus on mobility for all users. The transformation is the result of rapidly advancing autonomous vehicle technology and personal telecommunication technology. These technologies provide the opportunity to dramatically improve safety, mobility, and economic opportunity for society and industry. Future generations of engineers and other transportation professionals have the opportunity to be part of that societal change. This paper will focus on the technologies state DOT’s and the private sector are researching, developing, and deploying to promote the future of mobility and improved efficiency for commercial trucking through advancements in truck platooning, self-driving long-haul trucking, and automated last mile distribution networks.
HMIs extend beyond the cab Telematics functions are being integrated into multi-function user interfaces. Standards step forward in design of off-highway electronics Functional safety standards are starting to impact many development projects, while the auto industry's AUTOSAR standard is being deployed to help enable software reuse and simplify designs. Leveraging automotive lightweighting techniques to improve off-highway emissions Where systems engineers can gain efficiencies in off-highway equipment is agnostic, they'll take it anywhere, and so they should, but one of the ways, often underestimated, is through the use of strong and lightweight advanced materials. Waste heat recovery for the long haul A WHR system based on an organic Rankine cycle has been developed for a long-haul Iveco Stralis truck.
Base-engine value engineering for higher fuel efficiency and enhanced performance Continuous improvement in existing engines can be efficiently achieved with a value engineering approach. The integration of product development with value engineering ensures the achievement of specified targets in a systematic manner and within a defined timeframe. Integrated system engineering for valvetrain design and development of a high-speed diesel engine The lead time for engine development has reduced significantly with the advent of advanced simulation techniques. Cars poised to become 'a thing' Making automobiles part of the Internet of Things brings both risks and rewards. Agility training for cars Chassis component suppliers refine vehicle dynamics at the high end and entry level with four-wheel steering and adaptive damping.
Modern vehicles have multiple electronic control units (ECU) to control various subsystems such as the engine, brakes, steering, air conditioning, and infotainment. These ECUs are networked together to share information directly with each other. This in-vehicle network provides a data opportunity for improved maintenance, fleet management, warranty and legal issues, reliability, and accident reconstruction. Data Acquisition from Light-Duty Vehicles Using OBD and CAN is a guide for the reader on how to acquire and correctly interpret data from the in-vehicle network of light-duty (LD) vehicles. The reader will learn how to determine what data is available on the vehicle's network, acquire messages and convert them to scaled engineering parameters, apply more than 25 applicable standards, and understand 15 important test modes.