Certain standard parts in the aerospace industry require qualification as a prerequisite to manufacturing, signifying that the manufacturer’s capacity to produce parts consistent with the performance specifications has been audited by a neutral third-party auditor, key customer, and/or group of customers. In at least some cases, a certifying authority provides manufacturers with certificates of qualification which they can then present to prospective customers, and/or lists qualified suppliers in a Qualified Parts List or Qualified Supplier List available from that qualification authority. If this list is in an infrequently updated and/or inconsistently styled format as might be found in a print or PDF document, potential customers wishing to integrate qualification information into their supplier tracking systems must use a potentially error-prone manual process that could lead to later reliance on out-of-date or even forged data.
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.
Abstract In the automotive domain, the overall complexity of technical components has increased enormously. Formerly isolated, purely mechanical cars are now a multitude of cyber-physical systems that are continuously interacting with other IT systems, for example, with the smartphone of their driver or the backend servers of the car manufacturer. This has huge security implications as demonstrated by several recent research papers that document attacks endangering the safety of the car. However, there is, to the best of our knowledge, no holistic overview or structured description of the complex automotive domain. Without such a big picture, distinct security research remains isolated and is lacking interconnections between the different subsystems. Hence, it is difficult to draw conclusions about the overall security of a car or to identify aspects that have not been sufficiently covered by security analyses.
With the development of vehicle intelligence and the Internet of Vehicles, how to protect the safety of the vehicle network system has become a focus issue that needs to be solved urgently. The Controller Area Network (CAN) bus is currently a very widely used vehicle-mounted bus, and its security largely determines the degree of vehicle-mounted information security. The CAN bus lacks adequate protection mechanisms and is vulnerable to external attacks such as replay attacks, modifying attacks, and so on. On the basis of the existing work, this paper proposes an authentication method that combines Hash-based Message Authentication Code (HMAC)-SHA256 and Tiny Encryption Algorithm (TEA) algorithms. This method is based on dynamic identity authentication in challenge/response made and combined with the characteristics of the CAN bus itself as it achieves the identity authentication between the gateway and multiple electronic control units (ECUs).
This paper proposes a domain-centralized powertrain E/E (electrical and/or electronic) architecture for all-electric vehicles that features: a powerful master controller (domain controller) that implements most of the functionality of the domain; a set of smart actuators for electric motor(s), HV (High Voltage) battery pack, and thermal management; and a gateway that routes all hardware signals, including digital and analog I/O, and field bus signals between the domain controller and the rest of the vehicle that is outside of the domain. Major functional safety aspects of the architecture are presented and a safety architecture is proposed. The work represents an early E/E architecture proposal. In particular, detailed partitioning of software components over the domain’s Electronic Control Units (ECUs) has not been determined yet; instead, potential partitioning schemes are discussed.
Abstract Secure boot is a fundamental security primitive for establishing trust in computer systems. For real-time safety applications, the time taken to perform the boot measurement conflicts with the need for near instant availability. To speed up the boot measurement while establishing an acceptable degree of trust, we propose a dual-phase secure boot algorithm that balances the strong requirement for data tamper detection with the strong requirement for real-time availability. A probabilistic boot measurement is executed in the first phase to allow the system to be quickly booted. This is followed by a full boot measurement to verify the first-phase results and generate the new sampled space for the next boot cycle. The dual-phase approach allows the system to be operational within a fraction of the time needed for a full boot measurement while producing a high detection probability of data tampering.
The Role of Autonomous Unmanned Ground Vehicle Technologies in Defense Applications Information Warfare - Staying Protected at the Edge Designing Connectivity Solutions for an Electric Aircraft Future Redesigning the Systems Engineering Process to Speed Development of E-Propulsion Aircraft Four RF Technology Trends You Need to Know for Satellite Communication Device Design Manufacturer Reduces Risk and Improves Quality of Military Radar Receivers Instrumentation for Fabrication and Testing of High-Speed Single-Rotor and Compound-Rotor Systems Precision data acquisition is required to generate a comprehensive set of measurements of the blade surface pressures, pitch link loads, hub loads, rotor wakes and performance of high-speed single-rotor and compound-rotor systems to support the development of next-generation rotorcraft.
Abstract The automotive industry intends to create new services that involve sharing vehicle control information via a wide area network. In modern vehicles, an in-vehicle network shares information between more than 70 electronic control units (ECUs) inside a vehicle while it is driven. However, such a complicated system configuration can result in security vulnerabilities. The possibility of cyber-attacks on vehicles via external services has been demonstrated in many research projects. As advances in vehicle systems (e.g., autonomous drive) progress, the number of vulnerabilities to be exploited by cyber-attacks will also increase. Therefore, future vehicles need security measures to detect unknown cyber-attacks. We propose anomaly-based intrusion detection to detect unknown cyber-attacks for the Control Area Network (CAN) protocol, which is popular as a communication protocol for in-vehicle networks.
To achieve high robustness and quality, automotive ECUs must initialize from low-power states as quickly as possible. However, microprocessor and memory advances have failed to keep pace with software image size growth in complex ECUs such as in Infotainment and Telematics. Loading the boot image from non-volatile storage to RAM and initializing the software can take a very long time to show the first screen and result in sluggish performance for a significant time thereafter which both degrade customer perceived quality. Designers of mobile devices such as portable phones, laptops, and tablets address this problem using Suspend mode whereby the main processor and peripheral devices are powered down during periods of inactivity, but memory contents are preserved by a small “self-refresh” current. When the device is turned back “on”, fully initialized memory content allows the system to initialize nearly instantaneously.
This document reviews current aerospace software, hardware, and system development standards used in the certification/approval process of safety-critical airborne and ground-based systems, and assesses whether these standards are compatible with a typical Artificial Intelligence (AI) and Machine Learning (ML) development approach. The document then outlines what is required to produce a standard that provides the necessary accommodation to support integration of ML-enabled sub-systems into safety-critical airborne and ground-based systems, and details next steps in the production of such a standard.
Abstract Over the past forty years, the Electronic Control Unit (ECU) technology has grown in both sophistication and volume in the automotive sector, and modern vehicles may comprise hundreds of ECUs. ECUs typically communicate via a bus-based network architecture to collectively support a broad range of safety-critical capabilities, such as obstacle avoidance, lane management, and adaptive cruise control. However, this technology evolution has also brought about risks: if ECU firmware is compromised, then vehicle safety may be compromised. Recent experiments and demonstrations have shown that ECU firmware is not only poorly protected but also that compromised firmware may pose safety risks to occupants and bystanders.
SAE Standards News VS committees fully engaged on cybersecurity. Honda's new 10-speed is a slick shifter SAE Level 3 'hand off' challenging AI researchers Lightweight door module aims to trim vehicle weight Exclusive first drive: Torotrak's V-Charge technology New 10-speed auto delights in 2017 Ford F-150 Power and more underscore 2018 Toyota Camry I.D.
Thought leadership at WCX17 Lucid Motors' David Moseley: EV or ICE, "It is all physics" New eye on the road One of the industry's hottest tech suppliers is blazing the autonomy trail by crowd-sourcing safe routes and using AI to learn to negotiate the road. Mobileye's co-founder and CTO explains. Hard, slick and ready to roll A tough, self-renewing catalyst coating developed at Argonne National Laboratory provides unprecedented friction and wear protection for vehicle powertrains, the inventors claim. Sensor ICs, semiconductors and safety To achieve ISO 26262 compliance, engineering practices must be taken to a higher level. The following insights may prove valuable for getting there. New VCR targets 40% BTE Variable-compression ratio with VVA from France's MCE-5.
Innovations for lightweighting Tough fuel-economy bogies for 2021 and beyond are driving new approaches to materials use, as seen in these case studies. Axellent progress AAM's new Quantum drive-axle technology is a leap forward in lightweight, efficient driveline systems aimed at 2020 and beyond. Low-temperature combustion ready for prime time? At SAE's High-Efficiency IC Engines Symposium, Delphi said its new, third-generation GDCI is promising, but even LTC proponents admit that challenges remain. More automation for ECU testing The latest fault-insertion tests enable engineers to run more test cases in less time.
New dawn at Honda R&D President Yoshiyuki Matsumoto aims to invigorate Honda's technology and product-development organization with 'full soul.' Automated driving meets regulation: NHTSA and the next 50 years The challenges and opportunities on the road to 'zero deaths' demand a new level of federal automotive safety technical standards, and a new safety-defect reporting and recall system. NHTSA and the U.S. Congress must act boldly and quickly to make it happen. Autonomous driving meets regulation: Hands off, eyes off, brain off Euro NCAP'S president warns that without coherent policies, the growing availability of automated technologies may result in piecemeal technology development-and unintentional consequences. Designer yin meets engineer yang Efficient and effective vehicle development means even closer collaboration between the two former sparring partners.
Editorial The consolidation plot thickens The Navigator As the world turns to C-V2X, Europe picks WiFi Complexity of Autonomous-Systems Simulation, Validation Soars to the Clouds Scalable, cloud-based architectures are gaining greater acceptance for simulating and testing the myriad development aspects of automated driving. Connectivity Solutions for AVs The promises of fully connected autonomous vehicles are great, but so are the challenges. What M&E Can Teach the AV Industry About Data Media & entertainment offers important learnings on data retention, management, scalability and security. The Rodney Dangerfield of Automated-Driving Sensors Radar and lidar get all the attention, but Inertial Measurement Units are the backbone of sensor fusion. Suppliers are scrambling to make IMUs more accurate-and much less expensive. The Sense-itive Side of Autonomous Vehicles BASF is exploring how specific materials-and even paint colors and finishes-can improve the capabilities of AV sensors.
Editorial It's more than just a magazine The Navigator Needed: a step beyond STEM SAE AV Activities A listing of SAE International's autonomous vehicle-related offerings across the organization. Autonomy for the Masses Ford Autonomous Vehicles LLC aims to do for AVs what the Model T did for just about everyone. CEO Sherif Marakby explains. Speeding Thermal Analysis for Autonomous EVs Solving thermal challenges is vital to AEV development. Siemens PLM's new Simcenter integrated simulation package offers a high-fidelity, easy-to-use solution. New Mobility's Mega-Mappers Most believe ultrahigh-definition mapping is crucial to make high-level automated driving possible. Developing these maps is a huge undertaking-one that's enjoying a massive investment of money and talent. From a Blip to a Boom Automotive radar rides the 77-GHz technology wave toward greater capability and vehicle safety.