Introducing Safety and Security Co-engineering Related Research Orientations in the Field of Automotive Security

Török, Árpád; Pethö, Zsombor

doi:10.3311/pptr.15850

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…In contrast, it is essential to mention the self-certification procedure as well, where it is the vehicle manufacturer itself who performs vehicle inspections and issues a certification of conformity (e.g., in the USA), validating that its product does fulfil the requirements of the given market [22]. The future challenge is especially the successful integration of new aspects into these processes, like safe driving without a human driver in the control loop [23], [24], automotive cybersecurity [25]- [27] and artificial intelligence based system control [28], to mention a few.…”

Section: Background Of Automotive Testing and Validationmentioning

confidence: 99%

Next Generation X-in-the-Loop Validation Methodology for Automated Vehicle Systems

Szalay

2021

IEEE Access

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Testing self-driving vehicles is still a new and immature process; the globally harmonised procedure expected much later. The resource-demanding nature of real-world tests makes it indispensable to develop and improve the efficiency of virtual environment based testing methods. Accordingly, a novel Xin-the-Loop framework is proposed to fully exploit the recent advances in info-communication technologies, vehicle automation, and testing and validation requirements. This methodology real-time connects physical and virtual testing with high correlation while completely blurs the sharp boundaries between them. Measurement results confirm the superior performance of the 5G communication link in providing a stable, real-time connection between the real world and its virtual representation. The live demonstration proved the presented concept at the newly constructed Hungarian proving ground for automated driving. The performed investigation also includes comprehensive benchmarking, focusing on the most up-to-date automotive testing frameworks. The analysis considers the methodologies and techniques applied by the most relevant actors in the automotive testing sector worldwide. Accordingly, the newly developed testing framework is evaluated and validated in light of the state-of-the-art methods used by the automotive industry.INDEX TERMS Automotive proving ground, automated vehicle control, autonomous vehicle, co-simulation, digital twin, mixed-reality testing, scenario-based testing, testing and validation, virtual and mixed reality, V-model, X-in-the-loop testing.

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Section: Background Of Automotive Testing and Validationmentioning

confidence: 99%

Next Generation X-in-the-Loop Validation Methodology for Automated Vehicle Systems

Szalay

2021

IEEE Access

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“…The authors believe that road safety is a complex societal problem [7] not only in Uzbekistan but all over the world. Complex societal problems are real-life problems [34,[52][53][54][55]. Real life problems are almost always without exception complex [43].…”

Section: Introductionmentioning

confidence: 99%

The System Dynamic and Compram Methodologies for Modelling, Simulation and Forecasting of Road Safety of Uzbekistan

2021

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In Uzbekistan, about 2,000 people die every year as a result of a traffic accident. At the same time, according to the Pulitzer Centre on Crisis Reporting, the Republic has the lowest rate in road mortality among the countries in the Central Asian region - for every 100,000 people, it is 11.32 people. Losses from road accidents in Uzbekistan equivalent up to 2.8% of GDP that is also one of the lowest indicators. But according to traffic safety experts, the losses from accidents are greater than reported data. Nowadays there are a lot of methods to analyse and ensure road safety and traffic management on the roads. The authors believe that road safety is a complex societal problem not only in Uzbekistan but all over the world. One of these methods is System Dynamic (SD) and COMplex PRoblem hAndling Methodology (COMPRAM). In this work, the Vensim PLE SD software tool (it is one SD tool amongst many others) has been used to perform the SD modelling of the case study at hand. In the methods of system dynamics, a computer model is created using a graphical technique for constructing flow diagrams and causal relationships of the system under study and then simulated on a computer. COMPRAM allows us to figure out the way to handle complex societal problems while involving a System Dynamics (SD) simulation option. There are similarities between COMPRAM and the traditional way of analysing road safety. In traditional ways, each element or factor is studied as a separate phenomenon. These indicators are studied in the stages of COMPRAM. This article has been studied a different aspect of how road accidents happen. The developed a comparison (according to six criteria) of the different modelling paradigms which have been historically used to assess road safety. Also, the authors made a comparison of the COMPRAM methodology with the traditional road safety assessment approach to highlight similarities and differences.

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“…The reason is that compromising the sensor or control data signals on the IVN can directly affect the physical operation of the vehicle, which has a direct impact on passenger safety. Based on these insights, it can be seen that security and safety co-engineering are required from the beginning of the design and development processes [21,24].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Security Vulnerability Levels of In-Vehicle Network Topologies Applying Graph Representations

2021

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This article investigates cybersecurity issues related to in-vehicle communication networks. In-vehicle communication network security is evaluated based on the protection characteristics of the network components and the topology of the network. The automotive communication network topologies are represented as undirected weighted graphs, and their vulnerability is estimated based on the specific characteristics of the generated graph. Thirteen different vehicle models have been investigated to compare the vulnerability levels of the in-vehicle network using the Dijkstra's shortest route algorithm. An important advantage of the proposed method is that it is in accordance with the most relevant security evaluation models. On the other hand, the newly introduced approach considers the Secure-by-Design concept principles.

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Introducing Safety and Security Co-engineering Related Research Orientations in the Field of Automotive Security

Cited by 6 publications

References 15 publications

Next Generation X-in-the-Loop Validation Methodology for Automated Vehicle Systems

Next Generation X-in-the-Loop Validation Methodology for Automated Vehicle Systems

The System Dynamic and Compram Methodologies for Modelling, Simulation and Forecasting of Road Safety of Uzbekistan

Analysis of Security Vulnerability Levels of In-Vehicle Network Topologies Applying Graph Representations

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