Search Results

The development of highly automated driving functions (AD) recently rises the demand for so called Fail-Operational systems for native driving functions like steering and braking of vehicles. Fail-Operational systems shall guarantee the availability of driving functions even in presence of failures. This can also mean a degradation of system performance or limiting a system’s remaining operating period. In either case, the goal is independency from a human driver as a permanently situation-aware safety fallback solution to provide a certain level of autonomy. In parallel, the connectivity of modern vehicles is increasing rapidly and especially in vehicles with highly automated functions, there is a high demand for connected functions, Infotainment (web conference, Internet, Shopping) and Entertainment (Streaming, Gaming) to entertain the passengers, who should no longer occupied with driving tasks.

Automotive electronics and enterprise IT are converging and thus open the doors for advanced hacking. With their immediate safety impact, cyberattacks on such systems will endanger passengers. Today, there are various methods of security verification and validation in the automotive industry. However, we realize that vulnerability detection is incomplete and inefficient with classic security testing. In this article, we show how an enhanced Grey-Box Penetration Test (GBPT) needs less test cases while being more effective in terms of coverage and indicating less false positives.

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 underlying systems are susceptible to safety and cybersecurity attacks as the involved ECUs are interconnected. The security attacks can lead to disrupting the safe operation of the vehicle while causing injury to the passengers. ...Consequently, the functional safety requirements and cybersecurity requirements can be aligned with each other. In this article, a case study of the application of the THARA framework is presented through the risk analysis of safety and security threats applicable to the rearview camera (RVC) feature of the vehicle.

Less emphasis has been placed to-date on helping ensure cybersecurity of cyber-physical automotive systems. However, this is changing as both the world and the automotive industry become more aware of the potential ramifications of cyber-attacks on vehicles.

., 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.

The caveat to these additional capabilities is issues like cybersecurity, complexity, etc. This paper is an exploration into FuSa and CAVs and will present a systematic approach to understand challenges and propose potential framework, Intelligent Vehicle Monitoring for Safety and Security (IVMSS) to handle faults/malfunctions in CAVs, and specifically autonomous systems.

Abstract In this work, we present an approach to support penetration tests by combining safety and security analyses to enhance automotive security testing. Our approach includes a new way to combine safety and threat analyses to derive possible test cases. We reuse outcomes of a performed safety analysis as the input for a threat analysis. We show systematically how to derive test cases, and we present the applicability of our approach by deriving and performing test cases for a penetration test of an automotive electronic control unit (ECU). Therefore, we selected an airbag control unit due to its safety-critical functionality. During the penetration test, the selected control unit was installed on a test bench, and we were able to successfully exploit a discovered vulnerability, causing the detonation of airbags.

AVSC Information Report for Change Risk Management AVSC00010202304 provides a process for change risk management for fleet-operated ADS-DVs using level 4 or 5 automation. The document addresses risks resulting from planned and unplanned changes in an ADS-DV design and/or operation. This information report is based on the concept of risk-informed decision-making. Making risk management decisions such as safety and change management, safety analysis, and safety assurance are especially applicable when moving from concept to production intent for the ADS-DV. Change Risk Management (CRM) does not replace best practices or other methods for managing safety anomalies or change management processes. It may instead be viewed as an additional resource that elaborates on how safety anomaly management and change management can be performed.

DoD to Deploy Thousands of Low Cost Autonomous Systems Under Replicator Program Top Productivity Improvement Tips for Manufacturing Turbine Discs FACE Technical Standard Offers MOSA Lessons for Safety-Critical Software in Any Sector Adamant: A Soon-to-be Open Source, Mission-Critical Flight Software Framework Written in Ada Benefits and Challenges of Direct-RF Sampling for Avionic Platforms More Airports Test RF as Counter Measure for UAS in Restricted Airspace Adapting U.S. Army Acquisition to Ensure the Reliability and Safety of Autonomous Vehicles This report presents several challenges that the U.S. Army will face in the transition to autonomous vehicles, challenges that are only magnified in the current acquisition environment with limited testing. Artificial intelligence algorithms introduce additional complexity, resulting in systems with a complex combination of human, machine, and autonomous controllers.

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.

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.

Registration for the Government/Industry Meeting

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.

Registration for the Government/Industry Meeting will be open on September 1, 2023. Please check back soon.

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.

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).

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.

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.