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      Blockchain integration for in-vehicle CAN bus intrusion detection systems with ISO/SAE 21434 compliant reporting

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          Abstract

          The development of Intrusion Detection Systems (IDS) for in-vehicle buses has gained a lot of momentum in recent years as the number of reported vulnerabilities and the degree of interconnectivity for modern vehicles are on the rise. Since intrusion detection is resource consuming, it can be performed on computationally capable Android head units that are now present inside vehicles. Moreover, these units are connected to the internet, which enables the use of more complex algorithms that run in cloud environments. In this work we develop one such approach: an IDS that consists of a locally installed copy, running on head units, and a centralized instance of it that runs in the cloud and monitors traffic for groups of similar vehicles. Additionally, the centralized instance is part of a cloud service for intrusion detection which is continuously updated with the most recent types of attacks. The classification results of the cloud-based service are further analyzed by an incident response team which confirms the presence of known attacks, analyzes new types of attacks and assesses their impact. The output of this activity is stored on the Blockchain as ISO/SAE 21434 compliant reports, ensuring the transparency and traceability of the reported incidents.

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          Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning

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            A Survey of Intrusion Detection for In-Vehicle Networks

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              Security and privacy of UAV data using blockchain technology

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                Author and article information

                Contributors
                bogdan.groza@aut.upt.ro
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                8 April 2024
                8 April 2024
                2024
                : 14
                : 8169
                Affiliations
                GRID grid.6992.4, ISNI 0000 0001 1148 0861, Faculty of Automation and Computers, , Politehnica University of Timisoara, ; 300223 Timisoara, Romania
                Article
                58694
                10.1038/s41598-024-58694-4
                11002018
                38589628
                1fcf303f-b0c0-494d-a70e-71afc85ffc68
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 24 August 2022
                : 29 March 2024
                Categories
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                © Springer Nature Limited 2024

                Uncategorized
                software,computer science,information technology
                Uncategorized
                software, computer science, information technology

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