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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.

But unfortunately, automotive cybersecurity researchers hardly produce a comprehensive detection method due to the confidential nature of Controller Area Network (CAN) DBC format files, which is a standard long maintained by car manufacturers.

Abstract The expansion of the internet has made everyone’s personal and professional lives more transparent. There are network security issues because people like sharing resources under the right conditions. Academics have demonstrated significant interest in situation awareness, which includes situation prediction, situation appraisal, and event detection, rather than focusing on the security of a single device in the network. Multi-stage attack forecasting and security situation awareness are two significant issues for network supervisors because the future usually is unknown. Hence, this study suggests combined intuitionistic fuzzy sets and deep neural network (CIFS-DNN) for network security situation prediction. The goal is to provide network administrators with a resource they can use as a point of reference while they formulate and carry out preventive actions in the event of a network assault.

Automotive system functionalities spread over a wide range of sub-domains ranging from non-driving related components to complex autonomous driving related components. The requirements to design and develop these components span across software, hardware, firmware, etc. elements. The successful development of these components to achieve the needs from the stockholders requires accurate understanding and traceability of the requirements of these component systems. The high-level customer requirements transformation into low level granularity requires an efficient requirement engineer. The manual understanding of the customer requirements from the requirement documents are influenced by the context and the knowledge gap of the requirement engineer in understanding and transforming the requirements.

By looking into the vehicle-infrastructure cooperation (VIC) which is oriented towards intelligent, networked and integrated development, this paper analyzes and proposes the essence and development direction of Intelligent Vehicle Infrastructure Cooperation Systems (I-VICS). With an in-depth analysis of technologies of core importance to VIC and influence factors that constrain VIC development as a whole, the paper comes up with a technological route for VIC, and identifies a direction for vehicle-infrastructure cooperative development that progresses from primary to intermediate cooperation, then to advanced cooperation, and finally to full-fledged cooperation. Policy recommendations aiming at strengthening top-level design, building an integrated vehicle-infrastructure-cloud platform, expediting independence of key techs, building robust standards and regulations for VIC, enhancing workforce development as well as greater efforts at market promotion are put forward.

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.

Editorial Fool Self-Driving The Navigator The end of vehicle ownership Sanitary Solutions for AVs Gentex engineers are bridging mobility and medical technologies to tackle vital public-health issues of vehicle cabin cleanliness. 'Software, Start Your Engines' The 2021 Indy Autonomous Challenge is a high-speed laboratory for advancing automated driving. Getting to the 'Core' of AV Thermal Management Data-gobbling processors require new cooling solutions - and the AV industry needs standards, says a veteran engineer. Autonomy Takes Off-highway Integrating automation systems in mining, agricultural and construction machines can increase safety and productivity in the field and bring significant economic benefits. Boaring in on Vehicle-to-Animal Road Safety Researchers are using micro-Doppler radar, neural nets and machine learning to protect drivers from the wild critters that enter the road.

The researchers at the COE for Assured Autonomy in Contested Environments – all of which histories of innovation for Department of Defense problems of interest – will focus on the availability, integrity, and effective use of information by leveraging its diverse expertise in dynamics, mathematics, control theory, information theory, communications, and computer science.

Austrian telematics company, Dolphin Technologies GmbH, has created a new cryptocurrency that could lead to less mobile phone-related traffic accidents. The company’s Mobilio app rewards drivers with points when they ignore their mobile phones while driving.

As mobility software becomes increasingly complex and connected, so does the risk of human error and system safety. To combat this, New York-based software company AdaCore will work with Nvidia Corporation of Santa Clara, California to apply open-source Ada and SPARK programming languages for select software security firmware elements in highly-complex, safety-critical systems like Nvidia’s DRIVE AGX automated and autonomous vehicle solutions.

To better inform and equip mobility engineers dealing with these challenges, SAE International has released a new book series from Juan R. Pimentel that explores automated vehicle safety concepts and technologies.

Airbus intends to closely cooperate with start-ups in order to unlock new technologies in artificial intelligence, data analytics, and cyber security for France and Germany’s Future Combat Air System (FCAS) program.

Agencies involved in the operation obtained a special exemption from the Federal Aviation Administration’s national security flight restrictions over the airspace above the event, for purposes of keeping the crowds, drivers, and race personnel safe.

The Commonwealth Center for Advanced Manufacturing (CCAM), a non-profit consortium based in Prince George County, Virginia, uses a 3D visualization lab to expand beyond the walls of its 62,000-square-foot brick and mortar facility and deliver a collaborative development for researchers in industry, academia, and government.

ArmorFlash provides non-volatile memory (NVM) storage of encrypted and integrity-protected assets for for artificial intelligence (AI)-based Level 2+ advanced driver assistance systems (ADAS) through Level 5 autonomous driving solutions.

The Mobility Open Blockchain Initiative – a global nonprofit working to create standards in blockchain, distributed ledgers, and related technologies for consumers, smart cities, and mobility – has launched the industry's first vehicle identification (VID) standard incorporating blockchain technology into a digital vehicle identification system.

The China Automotive Technology and Research Center Co., Ltd. (CATARC), TÜV SÜD Group, and Shanghai SH Intelligent Automotive and International Transportation Innovation Center (ITIC) have joined with SAE International to establish the International Alliance for Mobility Testing and Standardization (IAMTS).

TIoTA, an open software consortium of over 50 members organized to support the creation of a secure, scalable, interoperable, and trusted IoT ecosystem, began the E-Mobility Challenge to link IoT devices with consumers and stakeholder companies such as operators and service, communication, and payment providers within the preexisting European electric vehicle ecosystem.

In the “What’s Next for Aerospace and Defense: A Vision for 2050” study, AIA, New York City-based McKinsey & Company, and other industry partners reveal a comprehensive 30-year, Industry 4.0 forecast of air travel and spaceflight based on improvements in automation and digitization, next-generation materials, alternative energy sources and storage, and increased data throughput.