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Abstract Connected vehicles and intelligent transportation systems are currently evolving into highly interconnected digital environments. Due to the interconnectivity of different systems and complex communication flows, a joint risk analysis for combining safety and security from a system perspective does not yet exist. We introduce a novel method for joint risk assessment in the automotive sector as a combination of the Diamond Model, Failure Mode and Effects Analysis (FMEA), and Factor Analysis of Information Risk (FAIR). These methods have been sequentially composed, which results in a comprehensive risk management approach to information security in an intelligent transport system (ITS). The Diamond Model serves to identify and structurally describe threats and scenarios, the widely accepted FMEA provides threat analysis by identifying possible error combinations, and FAIR provides a quantitative estimation of probabilities for the frequency and magnitude of risk events.

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.

GM's CTO driving new paths to technology leadership 'We're making actual production commitments regarding our advanced-technology strategy, rather than just talking about it,' says GM's CTO Jon Lauckner. 'We're absolutely going to be among the leaders, if not the leader, in these areas.' Aluminum prepares for its next big leap Ford's F-Series blockbuster was just the beginning. New micromills now in pilot phase aim to bring vastly stronger and more formable light-alloy materials at higher capacity, says Alcoa's Mike Murphy. Slick solutions for friction reduction From new lubricants to 'smart' oil pumps and clever bearing technologies, engine designers are attacking every potential source of spin losses and internal friction in the quest for more mechanical work out of less fuel. Next-gen NSX: a twin-turbo, multi-material Ferrari-fighter The production NSX made its much-awaited global debut at NAIAS in January.

Global Viewpoints The latest strategies are investigated for vehicle development by automakers and major suppliers. Sports cars embrace array of green technology IMSA Tudor United SportsCar Championship promotes a variety of green technologies to link racing to the road. More gears, more challenges Many strategies, as well as key software and hardware aspects related to controllers, networks, sensors, and actuators, must be considered to keep automatic transmissions shifting smoothly as more gears are added to improve fuel economy. Advancing structural composites Industry experts address the opportunities and challenges involved with moving toward composite-intensive vehicles, including Nissan's effort to produce a high-volume, fully recyclable composite liftgate with low metal content.

Volkswagen reveals its 'people's' EV VW's ID.4 leads the 2021 stampede to electrification for the mass market. Answering the fuel-cell compressor question The optimum compressor device for a fuel cell depends on vehicle application - and a lot more. An Eaton expert explains. Tire pressure's impact on EV driving range A new study shows that tighter control of tire-pressure loss can lead to marked improvement in electric-vehicle efficiency. Editorial Warm socks for the EV options list Supplier Eye For suppliers, a new drumbeat New SAE wireless charging standard is EV game-changer Tula DMD aims for more-efficient e-machines Multiphysics helps transform modeling, simulation Is the camshaft being timed out? New Magna seat puts connectivity in the second row BMW reveals its first "M" performance-badged two-wheeler Volkswagen readies new-generation Golf R Q&A Discussing safety tech, standards and industry trends with Hyundai North America's Brian Latouf

Steering Mazda's unique course A chassis engineer at heart, Chairman Seita Kanai challenges his engineers to think differently and embrace the Skyactiv technology that has made Mazda a benchmark. Delphi's multi-domain mindset From tackling the cyber threat to putting 48-volt hybrids with Dynamic Skip-Fire on the road, Engineering VP Mary Gustanski is harnessing a technology powerhouse. The evolving tire-development paradigm Advanced tire-simulation modeling allows tire development to keep pace with accelerated vehicle-development cycles. MEMS the word for next-gen HUDs New high-speed, quad-channel laser diode drivers are designed to beat the LCD and DLP incumbents for next-gen vehicle head-up displays.

New vision @ Gentex Creating a vital ADAS partner through home-grown R&D and manufacturing in (of all places) western Michigan. Positioning for hybrid growth BorgWarner "modularizes" to provide OEMs optimal electrified-driveline flexibility. Editorial: Beleaguered diesel could use a break-or a breakthrough SAE Standards News Kickoff to begin testing program to validate SAE J2954 wireless charging Recommended Practice Supplier Eye Will you be an active participant or passive bystander? The Navigator For future vehicles, communication equals trust Tenneco readies new semi-active digital suspension for 2020 New 90-degree turbo V6 leads Audi's hybridization blitz GKN using modular control algorithms for added systems integration U of M students engineer new autonomous shuttle system Jaguar's 2018 E-Pace shares Land Rover bones Ford pumps powertrains for 2018 F-150 2018 Subaru Crosstrek moves to new global platform Nissan's Ponz Pandikithura on EV lifecycle value

Editorial V2Reality Blockchain Unchained! The weird world of cryptocurrency exists because of the intense mathematics of blockchain technology. The mobility sector is looking beyond Bitcoin to put blockchain to work in potentially game-changing ways. Are Blockchain and 'Smart Contracts' the Secure Future? Legal risk and reward of blockchain and smart contracts as a prescription for automotive applications Software Building Blocks for AV Systems Elektrobit's unique software framework is designed to smooth development of automated driving functions. Cyber Security Goes Upstream The first cloud-based solution for connected vehicles was born in Israel and is now pilot testing at global OEMs. Electronic Architectures Get Smart Upgradable, scalable and powerful new architectures will help enable data-hungry connected, autonomous vehicles. Aptiv's VP of Mobility Architecture explains.

Editorial High noon for high-level autonomy The Navigator A fork in the road for the AV business The Electric, Autonomous Revolution Lifts Off Engineering the new generation of electric and hybrid vertical-take-off-and-landing vehicles at Wisk and Elroy Air. New SAE Standard for Automated-Driving Developers Developed in less than a year, SAE's new J3216 standard will impact traffic management, operations and safety for automated mobility. Making Data Logging, Replay and Prototyping More Efficient High levels of continuity and compatibility are vital to avoid interruptions in the development process - and reduce cost. Radar Death Star ELunewave's 3D-printed spherical antenna makes for fast, 360-degree single-snapshot readings that are claimed to beat the slower sweeps of conventional radar. The Case for FOTA in AV Data Security Firmware over-the-air data transmission helps OEMs drive secure vehicle autonomy.

Editorial AV lidar enters a new reality The Navigator UNECE takes first step toward AV regulation Special Delivery - by 'Bot Michigan start-up Refraction AI aims to be the go-to for last-mile, semi-autonomous, all-weather delivery robots. Lidar Infiltrates ADAS Once considered a necessity only in fully autonomous vehicles, lidar sensors are now being evaluated for lower-level driver-assistance systems. Training Data-hungry AI Algorithms Large-scale data refinement is key to bringing more sophisticated automated-driving functions to series production. Simulation's Next Generation Do autonomous-vehicle developers have their simulation strategies all wrong? Some experts think so - but suggest there's a practical solution. Marelli's COVID-killing HVAC Insert With big implications for shared mobility, a new photocatalytic cabin-air purifier claims to kill viruses - including COVID-19. Is Ground-penetrating Radar Next for AV Sensing?

The article also focus on innovative approaches that have recently adopted my many cybersecurity professionals for secured operation of ITS involving block-chain, artificial intelligence, and Machine Learning.

In this paper, we outline past, present and future applications of automotive security for engine ECUs. Electronic immobilizers and anti-tuning countermeasures have been used for several years. Recently, OEMs and suppliers are facing more and more powerful attackers, and as a result, have introduced stronger countermeasures based on hardware security. Finally, with the advent of connected cars, it is expected that many things that currently require a physical connection will be done remotely in a near future. This includes remote diagnostics, reprogramming and engine calibration.

Abstract Testing and verifying the security of connected and autonomous vehicles (CAVs) under cyber-physical attacks is a critical challenge for ensuring their safety and reliability. Proposed in this article is a novel testing framework based on a model of computation that generates scenarios and attacks in a closed-loop manner, while measuring the safety of the unit under testing (UUT), using a verification vector. The framework was applied for testing the performance of two cooperative adaptive cruise control (CACC) controllers under false data injection (FDI) attacks. Serving as the baseline controller is one of a traditional design, while the proposed controller uses a resilient design that combines a model and learning-based algorithm to detect and mitigate FDI attacks in real-time.

., driver assistance functions, intrusion detection system, vehicle diagnostics, external device authentication during vehicle diagnostics, vehicle-to-grid and so on). The cybersecurity attacks targeting the global time result in false time, accuracy degradation, and denial of service as stated in IETF RFC 7384.

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.

In conjunction with an increasing number of related laws and regulations (such as UNECE R155 and ISO 21434), these drive security requirements in different domains and areas. 2 In this paper we examine the upcoming trends in EE architectures and investigate the underlying cyber-security threats and corresponding security requirements that lead to potential requirements for “Automotive Embedded Hardware Trust Anchors” (AEHTA).

Digitally enabled mobility vehicles and services, including dockless bikesharing and electric scooter sharing, are generating and collecting a growing amount of mobility data. Mobility data holds great potential to support transportation officials and their efforts to manage the public right-of-way, but the unlimited distribution of mobility data carries untested risks to privacy and public trust. The Mobility Data Collaborative™ has identified the need to improve and coordinate understanding among all parties around foundational policy and legal issues to support mobility data sharing, including privacy and contracting. The guidelines are geared towards supporting a scalable mobility data sharing framework that aligns the interests of the public and private sectors while addressing privacy, transparency, data ownership, and consumer trust.

Abstract “It cannot happen to us” is one of many common myths regarding cybersecurity in the transportation industry. The traditional view that the threats to transportation are low probability and low impact keep agencies from mitigating security threats to transportation critical infrastructure.

Facial recognition software (FRS) is a form of biometric security that detects a face, analyzes it, converts it to data, and then matches it with images in a database. This technology is currently being used in vehicles for safety and convenience features, such as detecting driver fatigue, ensuring ride share drivers are wearing a face covering, or unlocking the vehicle. Public transportation hubs can also use FRS to identify missing persons, intercept domestic terrorism, deter theft, and achieve other security initiatives. However, biometric data is sensitive and there are numerous remaining questions about how to implement and regulate FRS in a way that maximizes its safety and security potential while simultaneously ensuring individual’s right to privacy, data security, and technology-based equality.

The road to victory is not a straight line Through highs and lows and curves in the road, Milwaukee School of Engineering's Formula SAE Hybrid team kept its focus and ended up with a championship. Winging it BYU-Idaho students develop innovative wing-to-fuselage connection for SAE Aero Design competition. The SpiRIT of Baja BYU-Idaho students develop innovative wing-to-fuselage connection for SAE Aero Design competition. Kettering Baja SAE hoists the SAE Collegiate Cup Seven SAE Collegiate Design Series teams competed in an annual presentation contest hosted by the SAE Mid-Michigan Section.