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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.

The results of this work is allowed to identify a number of cybersecurity threats of the automated security-critical automotive systems, which reduces the efficiency of operation, road safety and system safety. ...According to the evaluating criterion of board electronics, the presence of poorly-protected communication channels, the 75% of the researched modern vehicles do not meet the minimum requirements of cybersecurity due to the danger of external blocking of vital systems. The revealed vulnerabilities of the security-critical automotive systems lead to the necessity of developing methods for mechanical and electronic protection of the modern vehicle. ...The law of normal distribution of the mid-points of the expert evaluation of the cyber-security of a modern vehicle has been determined. Based on the system approach, ranking of the main cybersecurity treats is performed.

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

The flexible data rate capability in CAN (commonly called CAN FD) is implemented as a transport layer in order to allow for functional safety, cybersecurity, extended transport capability, and backward compatibility with SAE J1939DA.

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.

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.

The flexible data rate capability in CAN (commonly called CAN FD) is implemented as a transport layer in order to allow for functional safety, cybersecurity, extended transport capability, and backward compatibility with SAE J1939DA.

The flexible data rate capability in CAN (commonly called CAN FD) is implemented as a transport layer in order to allow for functional safety, cybersecurity, extended transport capability, and backward compatibility with SAE J1939DA.

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.

This specification establishes process controls for the repeatable production of aerospace parts by Electron Beam Powder Bed Fusion (EB-PBF). It is intended to be used for aerospace parts manufactured using additive manufacturing (AM) metal alloys, but usage is not limited to such applications.

This specification establishes process controls for the repeatable production of aerospace parts by Laser Powder Bed Fusion (L-PBF). It is intended to be used for aerospace parts manufactured using Additive Manufacturing (AM) metal alloys, but usage is not limited to such applications.

Upon their arrival, Unmanned Autonomous Systems (UAS) brought with them many benefits for those involved in a military campaign. They can use such systems to reconnoiter dangerous areas, provide 24-hr aerial security surveillance for force protection purposes or even attack enemy targets all the while avoiding friendly human losses in the process. Unfortunately, these platforms also carry the inherent risk of being built on innately vulnerable cybernetic systems. From software which can be tampered with to either steal data, damage or even outright steal the aircraft, to the data networks used for communications which can be jammed or even eavesdropped on to gain access to sensible information. All this has the potential to turn the benefits of UAS into liabilities and although the last decade has seen great advances in the development of protection and countermeasures against the described threats and beyond the risk still endures.

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.

SAE Convergence 2016 Talk of the healthy aspects of disruption mingles with SAE's renowned technical emphasis to foster the auto industry's continuing evolution toward electrification and autonomy. The Battery Man Speaks The speed of progress in automotive lithium batteries has impressed AABC's Dr. Menahem Anderman. So has silicon-graphite anode technology development from Tesla and Panasonic. Industry 4.0: The smart factory arrives The plants that produce automotive systems and vehicles are increasingly employing intelligent systems, Big Data and advanced analytics to improve quality, safety and efficiency. Editorial: Promise of 48 volts is no shock Nissan unveils variable-compression-ratio ICE for 2018 Infiniti production model Optimizing engine oil warm-up strategies for 'real-world' driving In search of higher-energy-content batteries Making Multiphysics fast and convenient I.D.

Autonomous plows ahead Agriculture, construction, mining-even marine-are advancing autonomous technology to improve the productivity and safety of vehicles on the job. Expediting engine design Simulation tools drive development of the most complex, fuel- efficient and powerful engines ever seen in off-highway applications. Industry 4.0: The smart factory arrives The plants that produce vehicles and their high-tech systems are increasingly employing intelligent systems, Big Data and advanced analytics to improve quality, safety and efficiency. The future is not so far-off Enhanced Cat 3500 engine boosts power 20%, trims fuel usage by 10% Phase 2 GHG rules driver for advanced technology, alternative fuels Eaton demonstrates waste heat recovery, variable valve actuation for HD diesels Hyliion develops add-on hybrid system for semi-trailers that reduces fuel consumption by 30% Tech-heavy Iveco Z Truck concept spawns 29 patents EPA's Grundler talks Phase 2 regs

Deere advances in-field autonomy While stereo cameras and computer vision guide Deere's "limited- release" 8R autonomous tractor, Bear Flag's lidar tech will augment future machines. Positioning to centimeter-level improves agriculture Precision-navigation approaches that emphasize backward compatibility help farms reap more value from autonomous operations. Funding, mandates fuel commercial-vehicle electrification Legislators provide the impetus to electrify trucks and buses, leading to several engineering challenges.

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.

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.