1,720,974 research outputs found

    Automotive cybersecurity: Foundations for next-generation vehicles

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    The automotive industry is experiencing a serious transformation due to a digitalisation process and the transition to the new paradigm of Mobility-As-A-Service. The next-generation vehicles are going to be very complex cyber-physical systems, whose design must be reinvented to fulfil the increasing demand of smart services, both for safety and entertainment purposes, causing the manufacturers' model to converge towards that of IT companies. Connected cars and autonomous driving are the preeminent factors that drive along this route, and they cause the necessity of a new design to address the emerging cybersecurity issues: The 'old' automotive architecture relied on a single closed network, with no external communications; modern vehicles are going to be always connected indeed, which means the attack surface will be much more extended. The result is the need for a paradigm shift towards a secure-by-design approach. In this paper, we propose a systematisation of knowledge about the core cybersecurity aspects to consider when designing a modern car. The major focus is pointed on the in-vehicle network, including its requirements, the current most used protocols and their vulnerabilities. Moreover, starting from the attackers' goals and strategies, we outline the proposed solutions and the main projects towards secure architectures. In this way, we aim to provide the foundations for more targeted analyses about the security impact of autonomous driving and connected cars

    Source and Data for the Analysis of the Metropolitan Territory with GIS Tools: A Critical Review Between Commercial and Open Access Tools

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    This contribution addresses the issue of the availability and accessibility of data for urban and regional studies. After an initial part in which tools and arguments are provided to frame the open data paradigm, the second part proceeds with the simulation of a GIS-based study on a territory of the Metropolitan City of Turin aimed at supporting post-COVID territorial planning, highlighting the areas in which there is a lack of data, the difficulty of access, such as in health care, or the obligation to have to use commercial data. In the last part, the results of the study are discussed, and the issue of the importance of the construction of digital models (digital twins) capable of receiving and processing data of different sources, and how these models should be developed according to an open and non-commercial paradigm

    Beyond Schema Versioning: A Flexible Model for Spatio-Temporal Schema selection

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    Schema versioning provides a mechanism for handling change in the structure of database systems and has been investigated widely, both in the context of static and temporal databases. With the growing interest in spatial and spatio-temporal data as well as the mechanisms for holding such data, the spatial context within which data items are formatted also becomes an issue. This paper presents a generalized model that accommodates temporal, spatial and spatio-temporal schema versioning within databases
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