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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.

October 29-31, 2019 │ Novi, MI

October 29-31, 2019 │ Novi, MI

The lack of inherent security controls makes traditional Controller Area Network (CAN) buses vulnerable to Machine-In-The-Middle (MitM) cybersecurity attacks. Conventional vehicular MitM attacks involve tampering with the hardware to directly manipulate CAN bus traffic.

Anatomy and examples of cyberattacks on industrial control systems (ICS) and critical infrastructures (CI): In this course you will understand the importance of cybersecurity for Critical Infrastructure and you will know typical attack vectors, vulnerabilities and defense strategies. ...Decentralized Energy Systems Security: In this course you will know relevant technical countermeasures for cybersecurity. You will understand threats and solutions concerning data communication and network security in the energy systems.

OBD, J1939 and UDS on CAN / IP), and a glimpse into the near future covering remote, cloud-based diagnostics and cybersecurity threats.

If you are not able to attend WCX 2022 in-person, you will have the opportunity to join a selected number of live technical and executive discussions online that will advance your skill set in propulsion, connectivity security and safety as well as the business of technology.

If you are not able to attend WCX 2022 in-person, you will have the opportunity to join a selected number of live technical and executive discussions online that will advance your skill set in propulsion, connectivity security and safety as well as the business of technology.

This book, in its second edition, examines the energy sources that play a vital role in society today, as well as those that may be the primary energy sources of tomorrow. From our reliance on fossil fuels to the quest for energy independence, and the environmental issues that follow each decision, this book delves into the most prominent energy issues of our time. Armed with this information, the reader can think critically about the direction they want this world to take. Contents: Brief History of Energy Consumption Fossil Energy - Coal Fossil Energy - Oil and Gas Peak Oil Nuclear Energy Renewable Energy - Solar Energy Renewable Energy - Wind Energy Renewable Energy - Energy from Water Renewable Energy - Bioenergy and Synfuels Energy Carrier, Energy Storage and Hybrid Energy Systems Electricity Generation and Distribution Energy Economics Future Issues - Geopolitics of Energy Future Issues - Energy Forecasts

In the past, research on blockchain technology has addressed security and privacy concerns within intelligent transportation systems for critical V2I and V2V communications that form the backbone of Internet of Vehicles. Within trucking industry, a recent trend has been observed towards the use of blockchain technology for operations. Industry stakeholders are particularly looking forward to refining status quo contract management and vehicle maintenance processes through blockchains. However, the use of blockchain technology for enhancing vehicle performance in fleets, especially while considering the fact that modern-day intelligent vehicles are prone to cyber security threats, is an area that has attracted less attention. In this paper, we demonstrate a case study that makes use of blockchains to securely optimize the fuel economy of fleets that do package pickup and delivery (P&D) in urban areas.

Access mechanisms to system data and/or control is a primary use case of the hardware protected security environment (hardware protected security environment) during different uses and stages of the system. The hardware protected security environment acts as a gatekeeper for these use cases and not necessarily as the executor of the function. This section is a generalization of such use cases in an attempt to extract common requirements for the hardware protected security environment that enable it to be a gatekeeper. Examples are: Creating a new key fob Re-flashing ECU firmware Reading/exporting PII out of the ECU Using a subscription-based feature Performing some service on an ECU Transferring ownership of the vehicle Some of these examples are discussed later in this section and some have detailed sections of their own. This list is by no means comprehensive.

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.

Focus on advanced safety systems and human-factor interventions The impact of REACH on the aviation sector Considered the most comprehensive chemical-regulation legislation to date, REACH presents serious ramifications for the aircraft industry. Lightweighting: What's Next? Experts weigh in on the challenges and future enablers in the battle to reduce vehicle mass. The best of COMVEC 2016 Autonomous vehicles and improved fuel efficiency via advanced powertrain solutions are pressing topics detailed in this select group of technical papers from the SAE Commercial Vehicle Engineering Congress. Optimizing waste heat recovery for long-haul trucks Autonomous solutions in agriculture Downsizing a HD diesel engine for off-highway applications Zero-emissions electric aircraft: Theory vs. reality

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.

Advancing toward driverless cars Autonomous-driving technology is set to revolutionize the auto industry. But getting to a true "driverless" future will be an iterative process based on merging numerous individual innovations. Overcoming the challenges of HCCI combustion Homogenous-charge compression ignition (HCCI) holds considerable promise to unlock new IC-engine efficiencies. But HCCI's advantages bring engineering obstacles, particularly emissions control. Simulation for tractor cabin vibroacoustic optimization Method of identifying and stopping an electronically controlled diesel engine in runaway mode Electrification not a one-size-fits-all solution Efforts in the off-highway industry have been under way for decades, but electrification technology still faces implementation challenges. 700 miles, hands-free! GM's Super Cruise turns Cadillac drivers into passengers in a well-engineered first step toward greater vehicle autonomy.

Introduction to Managing Energy Data: The Internet of Things (IoT) revolution (eg. the vast spread of smart meters worldwide) is generating massive amounts of energy data, drastically transforming the sector and current energy systems. This digital transformation gives rise to more intelligent ways of managing energy and brings about opportunities for energy companies to improve their business models and services. This course contains a brief introduction to the topics presented in the course, from smart meters and smart metering data to data science.

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.

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.