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Addressing the challenges will require stronger collaboration within and outside the automotive ecosystem.

Strategies designed to deal with these challenges differ in the way in which added duties are assigned and cybersecurity topics are integrated into the already existing process steps. Cybersecurity requirements often clash with existing system requirements or established development methods, leading to low acceptance among developers, and introducing the need to have clear policies on how friction between cybersecurity and other fields is handled. ...Cybersecurity requirements often clash with existing system requirements or established development methods, leading to low acceptance among developers, and introducing the need to have clear policies on how friction between cybersecurity and other fields is handled. A cybersecurity development approach is frequently perceived as introducing impediments, that bear the risk of cybersecurity measures receiving a lower priority to reduce inconvenience. ...For an established development process and a team accustomed to this process, adding cybersecurity features to the product initially means inconvenience and reduced productivity without perceivable benefits.

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.

IOOs and ADS developers agree that cost, communications, interoperability, cybersecurity, operation, maintenance, and other issues undercut efforts to deploy a comprehensive connected infrastructure.

Here’s a unique and practical book that addresses the rapidly growing problem of information security, privacy, and secrecy threats and vulnerabilities. This authoritative resource helps you understand what really needs to be done to protect sensitive data and systems and how to comply with the burgeoning roster of data protection laws and regulations. The book examines the effectiveness and weaknesses of current approaches and guides you towards practical methods and doable processes that can bring about real improvement in the overall security environment. You gain insight into the latest security and privacy trends, learn how to determine and mitigate risks, and discover the specific dangers and responses regarding the most critical sectors of a modern economy.

Abstract Connected vehicle technology consisting of Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication falls under the umbrella of V2X, or Vehicle-to-Everything, communication. This enables vehicles and infrastructure to exchange safety-related information to enable smarter, safer roads. If driver alerts are raised or automated action is taken as a result of these messages, it is critical that messages are trustworthy and reliable. To this end, the Security Credential Management System (SCMS) and Cooperative Intelligent Transportation Systems (C-ITS) Credential Management System (CCMS) have been proposed to enable authentication and authorization of V2X messages without compromising individual user privacy. This is accomplished by issuing each vehicle a large set of “pseudonyms,” unrelated to any real-world identity. During operation, the vehicle periodically switches pseudonyms, thereby changing its identity to others in the network.

Recent developments in the commercialization of mobility services have brought unprecedented connectivity to the automotive sector. While the adoption of connected features provides significant benefits to vehicle owners, adversaries may leverage zero-day attacks to target the expanded attack surface and make unauthorized access to sensitive data. Protecting new generations of automotive controllers against malicious intrusions requires solutions that do not depend on conventional countermeasures, which often fall short when pitted against sophisticated exploitation attempts. In this paper, we describe some of the latent risks in current automotive systems along with a well-engineered multi-layer defense strategy. Further, we introduce a novel and comprehensive attack and performance test framework which considers state-of-the-art memory corruption attacks, countermeasures and evaluation methods.

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.

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.

Modern automobiles collect around 25 gigabytes of data per hour and autonomous vehicles are expected to generate more than 100 times that number. In comparison, the Apollo Guidance Computer assisting in the moon launches had only a 32-kilobtye hard disk. Without question, the breadth of in-vehicle data has opened new possibilities and challenges. The potential for accessing this data has led many entrepreneurs to claim that data is more valuable than even the vehicle itself. These intrepid data-miners seek to explore business opportunities in predictive maintenance, pay-as-you-drive features, and infrastructure services. Yet, the use of data comes with inherent challenges: accessibility, ownership, security, and privacy. Unsettled Legal Issues Facing Data in Autonomous, Connected, Electric, and Shared Vehicles examines some of the pressing questions on the minds of both industry and consumers. Who owns the data and how can it be used?

Android applications have historically faced vulnerabilities to man-in-the-middle attacks due to insecure custom SSL/TLS certificate validation implementations. In response, Google introduced the Network Security Configuration (NSC) as a configuration-based solution to improve the security of certificate validation practices. NSC was initially developed to enhance the security of Android applications by providing developers with a framework to customize network security settings. However, recent studies have shown that it is often not being leveraged appropriately to enhance security. Motivated by the surge in vehicular connectivity and the corresponding impact on user security and data privacy, our research pivots to the domain of mobile applications for vehicles. As vehicles increasingly become repositories of personal data and integral nodes in the Internet of Things (IoT) ecosystem, ensuring their security moves beyond traditional issues to one of public safety and trust.

Abstract The rapid development of connected and automated vehicle technologies together with cloud-based mobility services is transforming the transportation industry. As a result, huge amounts of consumer data are being collected and utilized to provide personalized mobility services. Using big data poses serious challenges to data privacy. To that end, the risks of privacy leakage are amplified by data aggregations from multiple sources and exchanging data with third-party service providers, in face of the recent advances in data analytics. This article provides a review of the connected vehicle landscape from case studies, system characteristics, and dataflows. It also identifies potential challenges and countermeasures.

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.

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.

Rethinking the HUD Advanced tech solutions move toward augmented reality to bring greater capability to head-up displays. Motor matters New designs and materials are key to the next generation of electric machines for EV propulsion. Harnessing the power of Sim Serious cost savings could come from eliminating vehicle- and systems-level tests. Powerful simulation tools may be the only way to tackle the increasing complexity in mobility development. An OBE for the SAE Meet Paul Mascarenas-SAE International's 2019 president. He's a staunch advocate for professional development for engineers amid the mobility industry's transformation. Solving the propulsion puzzle Must-attend expert panels at SAE's WCX '19 will cover the propulsion-tech future like no other. Editorial Kill the EV tax credit by 2025 SAE Standards News SAE and Synopsys collaborate on cyber study Supplier Eye New Co. vs. Old Co.

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 Automated driving's continuing mission: One step forward… The Navigator Are robotaxis ready for prime time? AV Simulation Faces a Long and Winding Road There are many divergent-but-related ideas about how best to leverage simulation to 'teach' and test automated vehicles. Global AV simulation experts continue to attack the technology's persistent obstacles. DOT's 'Framework' for AV Development The U.S. Department of Transportation establishes structure to advance collaborative AV testing. The Chaos of Automotive Data Privacy Regulators and other privacy advocates believe vehicle-related data collection and brokering is in overdrive. One expert believes a day of reckoning is coming. Simulation Developer rFpro Mimics Vehicle Sensors 'Ray-tracing' software enables the training of ADAS systems entirely by simulation. Eight of the top 10 OEMs are using it. New Tools & Technologies

Editorial Fool Self-Driving II The Navigator What will result from NHTSA's Tesla Autopilot investigation? Data Drives Driverless Truck Launch Smart diagnostics and advanced validation help support the reliability metrics required to gain confidence that autonomous trucks are ready for the road. Peering into the Distance New sensors of all types look out longer distances - and provide higher resolutions - for engineers pushing ADAS capabilities and higher-level vehicle automation. Ford Drives into SAE Level 2 Driver monitoring was an essential component to engineering the new "hands-free" BlueCruise/Active Glide enhanced ADAS system. A Chore No More? The Detroit Smart Parking Lab opens to develop and test emerging parking technology in real-world settings. Share and Share Alike The concepts of rideshare and urban mobility continue to evolve as new projects test what's possible.

Editorial The new 'face' of privacy The Navigator No trust in AI systems without data protection Innovation Nation In the mobility space, Israel is rivaling Silicon Valley for smarts and start-ups - and beats it in chutzpah. Autonomy in your Face Biometric technology is deemed essential to ensuring AV driving safety and advancing the user experience-if privacy issues don't derail its deployment. About Face! To win acceptance, deployment of facial-recognition technology needs to fit within a picture-perfect consumer and legal framework that balances benefits with privacy protection. The Vehicle as Gaming Device Audi spin-off Holoride uses VR to turn the back seat into an entertainment platform. BlackBerry Tech Duo Sees Emergence of Vehicle-based Platforms Though likely to provide the OS of autonomy, BlackBerry also anticipates a larger shift to automobiles as software platforms.

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.