Autonomous vehicles data

Shaping the future with autonomous vehicles data

Learn how standards are supporting the security and collection of autonomous vehicles data

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Self-driving data: The importance of information standards in connected and autonomous vehicled

Future cars run on data, not petroleum. Self-driving vehicles and other networked autonomous robots use sophisticated sensors to capture continuous data about the surrounding environment. These kinds of capabilities however turn self-driving cars into agents, conducting transactions. This requires several technologies working in tandem: Internet of Things-connected sensors on vehicles and pervasive connectivity as well as digital exchange models like blockchain, which promise secure, paperless, transparent transactions. In this way, data is helping install enough information and deep learning in autonomous cars to make them safer for all drivers. Due to the extensive amount of data generated by a connected and autonomous vehicle (CAV) and the information flowing among AVs and through surrounding infrastructure, data governance legislation poses a significant challenge especially in the perspective of their large-scale introduction. Why do autonomous vehicles collect data? Autonomous driverless car systems require optimization and complete vehicle performance validation. To strike a balance of safety, comfort, and fuel, self-driving functions need insight into different scenarios, environments, and conditions. For modern or new age cars there are different computing sensors that collect massive amounts of data that get used to processing the various functions required to facilitate driverless mobility. For self-driving cars to work, an ocean of data needs to flow into a lattice of sophisticated sensors. The car needs to know where it is, where it’s going, and be able to keep track of every other thing and creature on the road. This level of data collection is a natural extension of a driverless car’s functionality. Technologies used on driverless cars are mostly LiDAR, radar, camera, and ultrasonic sensors. These sensors are used to collect data to sense the environment safely and provide the necessary redundancy. The car’s computers combine all of this to build a picture of where other cars, cyclists, pedestrians, and obstacles are and where they’re moving. For this part, lots of training data is needed — that is, the car needs to draw on millions of miles of driving data. Data collection thus becomes a very important first step to determine the efficacy of self-driving cars and the data analysis in a sensor fusion engine is also essentially important to identify, compute and empower autonomous cars of the future with the right capabilities to perform their functions seamlessly. Potential uses for data collected by connected and autonomous vehicles It isn’t only the cars that will be able to use the data they collect. The true potential of this data is great: An automotive manufacturer can remotely see a problem with your car and immediately inform you through your vehicle With vehicle data, managing a fleet of hundreds or thousands of connected cars becomes an efficient and optimized process Big data is a rich source of behavioural insights, from the petrol stations, drivers choose to the music they listen to. This information can be used in marketing, sales, and customer service City planning and engineering will become more accurate with big data from connected vehicles: more efficient road planning, early warning systems on dangerous spots, and safer pedestrian walkways are just a few possible outcomes Data from connected cars can help to develop custom insurance plans for drivers based on their performance. To learn more on the topic of automotive innovation, click here. Solving data privacy issue with standards As autonomous vehicles are gathering large amounts of personal data about drivers, passengers, and other road users, a broad range of privacy and data protection questions arise. The impact of malicious security attacks that go beyond data or vehicle theft has the capability to cause significant damage and potential loss of life, along with a potential impact on manufacturer reputation. Therefore, building trust in such technology amidst the growing concerns of security attacks and vulnerability exploitations is a challenge that needs to be addressed across the automotive industry. BS EN ISO/IEC 27001 helps you implement a robust approach to managing information security in your automotive business and to build resilience. Other key cybersecurity standards related to the automotive industry include: PAS 11281:2018 Connected automotive eco-systems – Impact of security on safety – Code of Practice. This PAS aims to help organizations in the Connected and Automated Vehicle ecosystem ensure that security-related risks in their products, services, or activities don’t pose an unacceptable safety risk in the physical world. PAS 1885:2018 Specification of the principles of automotive cybersecurity. This PAS has been written to help all parties involved in the vehicle lifecycle and ecosystem understand better how to improve and maintain vehicle security and the security of associated intelligent transport systems (ITS). BS 10754 Information security – Systems trustworthiness – governance and management specification. BS ISO 20080:2019 Road vehicles. Information for remote diagnostic support. General requirements, definitions, and use cases. This standard specifies general requirements and constraints applicable to a remote diagnostic process, the use cases, and scenarios to support the implementation of a remote diagnostic process using a standardized interface of the ExVe. BS EN ISO 18541 series (Parts 1-5) Road vehicles. These standards give automotive businesses access to automotive repair and maintenance information (RMI). To ensure your automotive business is prepared for the data challenges of tomorrow, shop our information technology standards today. Discover BSI Knowledge With a BSI Knowledge subscription, you will have the flexibility and visibility to manage the essential standards you need in order to work with confidence and optimize the data security of your automotive products. Build your own custom collection of standards, or opt for access to our GBM27 Road Vehicle Engineering module and keep up-to-date with any relevant changes to your standards strategy. Request to learn more.

Preparing for a new era of cybersecurity challenges with standards

Standards, including the newly published BS ISO/SAE 21434, can give the automotive industry a vital tool with which to manage risk, demonstrate compliance and provide customers with confidence. This article explores how standards can help with the cybersecurity challenges that lie ahead. The rapid progress of automation and connective technology has brought the reality of automated driving to our doorsteps. Add to this the burgeoning technology in roadside infrastructure and concepts such as V2V and V2I communication – and cars are becoming intricate computers on wheels. Of course, the movement from traditional closed and unconnected ecosystems to those that are open and connected puts new security demands on the entire supply chain. In addition, the lifecycle management of security-based designs and systems has also become more complicated, with the need for device evaluation and certification; OTA (Over The Air) updates and maintenance, and careful end-of-life decommissioning of products. This new frontier is exciting, but also as the connectivity map of vehicles expands, so too does the attack surface, bringing security threats that could result in significant damage, loss of reputation, and even loss of life. Moreover, cybersecurity issues touch not only the final product but also items that would previously not have been an issue for Functional Safety, such as transportation and storage of secure keys used in the device. Even the operation of semiconductor design and manufacturing sites comes into question with the need to ensure that access to secure designs and components is adequately controlled. The need for cybersecurity awareness will have an impact on every stakeholder in the supply chain. It’s clear that the automotive industry must rigorously address people’s concerns about the potential vulnerability to cyberattacks of connected vehicles. What is the Role of Automotive Cybersecurity Standards? Given that the target is to ensure the safety and security of everyone in their day-to-day lives, cybersecurity needs to become a core horizontal across organizations in the supply chain and something that is “built-in” rather than “bolted on”. And increasingly complex vehicle ecosystems demand a broad set of interdependent rules. This is where standards can play a role. Standards can define requirements, processes, and work products within the ecosystem and in so doing provide alignment along the supply chain as automotive development cycles tackle the issues of automotive cybersecurity. BSI produced PAS 1885:2018 on the fundamental principles of automotive cyber security and has played an active role in contributing to BS ISO/SAE 21434 which helps users embed cybersecurity in the engineering of the electrical and electronic systems of road vehicles. Such standards, along with regulations (such as WP 29/UNECE) will build the cybersecurity resilience that is needed now in the automotive product domain. To learn how and why autonomous vehicles collect and process data, click here. The Importance of Penetration Testing and Risk Assessment in the Automotive Supply Chain For example, evaluating security mitigations through planned penetration testing is now a fundamental part of all product design. The automotive industry will need to institute penetration testing of products throughout the supply chain to ensure that mitigations are sufficient and effective for both hardware and software components. Standards such as BS ISO/IEC 17825:2016 (on testing methods for the mitigation of non-invasive attack classes against cryptographic modules), Federal Information Processing Standards (FIPS) and the National Institute of Standards and Technology (NIST) provide direction for test frameworks. Nevertheless, a hacker’s motivations will determine the true threat level, and using risk assessment techniques that are supported in standards such as BS ISO/SAE 21434:2021 will help the supply chain to prioritize the tests that are important. In addition, BS ISO/SAE 21434:2021 can help automotive organizations plan for quantitative and qualitative data that can be used to visualize potential security gaps when designs are modified or refined for future use. In summary, there’s no question that the experience gained from previous banking and smartcard applications provides an effective platform on which to build and develop automotive security knowledge and approaches, but adapting these to the rigorous, cost-sensitive demands of the automotive supply chain will be another challenge. The direction and tools that are supplied by new standards such as BS ISO/SAE 21434:2021 and PAS 1885:2018 among others will supply frameworks to help the automotive industry address the new and undoubted challenges of cybersecurity. BS ISO/SAE 21434:2021 and over 100,000 more internationally recognized standards are available with a BSI Knowledge subscription which can help build a culture of digital trust in your business. Our tailored subscription service provides flexibility, access, visibility, and control over the standards and insights your educational institution needs to achieve cybersecurity. Build your own custom collection of standards and keep updated with any relevant changes to your cybersecurity strategy. Request to learn more. Add this BS ISO/SAE 21434:2021 to your collection today.

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Autonomous vehicles data

Shaping the future with autonomous vehicles data

Self-driving data: The importance of information standards in connected and autonomous vehicled

Preparing for a new era of cybersecurity challenges with standards

Key Connected and Automated Vehicle Data Standards

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