Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability
The inherent dynamism of recent technological advancements in intelligent vehicles has seen multitudes of noteworthy security concerns regarding interactions and data. As future mobility embraces the concept of vehicles-to-everything, it exacerbates security complexities and challenges concerning dy...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/21/8817 |
| _version_ | 1797631252050739200 |
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| author | Akwasi Adu-Kyere Ethiopia Nigussie Jouni Isoaho |
| author_facet | Akwasi Adu-Kyere Ethiopia Nigussie Jouni Isoaho |
| author_sort | Akwasi Adu-Kyere |
| collection | DOAJ |
| description | The inherent dynamism of recent technological advancements in intelligent vehicles has seen multitudes of noteworthy security concerns regarding interactions and data. As future mobility embraces the concept of vehicles-to-everything, it exacerbates security complexities and challenges concerning dynamism, adaptiveness, and self-awareness. It calls for a transition from security measures relying on static approaches and implementations. Therefore, to address this transition, this work proposes a hierarchical self-aware security architecture that effectively establishes accountability at the system level and further illustrates why such a proposed security architecture is relevant to intelligent vehicles. The article provides (1) a comprehensive understanding of the self-aware security concept, with emphasis on its hierarchical security architecture that enables system-level accountability, and (2) a deep dive into each layer supported by algorithms and a security-specific in-vehicle black box with external virtual security operation center (VSOC) interactions. In contrast to the present in-vehicle security measures, this architecture introduces characteristics and properties that enact self-awareness through system-level accountability. It implements hierarchical layers that enable real-time monitoring, analysis, decision-making, and in-vehicle and remote site integration regarding security-related decisions and activities. |
| first_indexed | 2024-03-11T11:21:12Z |
| format | Article |
| id | doaj.art-36dfc1f8cc934ddeb38c150f495abd4d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T11:21:12Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-36dfc1f8cc934ddeb38c150f495abd4d2023-11-10T15:12:13ZengMDPI AGSensors1424-82202023-10-012321881710.3390/s23218817Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level AccountabilityAkwasi Adu-Kyere0Ethiopia Nigussie1Jouni Isoaho2Department of Computing, University of Turku, Vesilinnatie 5, 20500 Turku, FinlandDepartment of Computing, University of Turku, Vesilinnatie 5, 20500 Turku, FinlandDepartment of Computing, University of Turku, Vesilinnatie 5, 20500 Turku, FinlandThe inherent dynamism of recent technological advancements in intelligent vehicles has seen multitudes of noteworthy security concerns regarding interactions and data. As future mobility embraces the concept of vehicles-to-everything, it exacerbates security complexities and challenges concerning dynamism, adaptiveness, and self-awareness. It calls for a transition from security measures relying on static approaches and implementations. Therefore, to address this transition, this work proposes a hierarchical self-aware security architecture that effectively establishes accountability at the system level and further illustrates why such a proposed security architecture is relevant to intelligent vehicles. The article provides (1) a comprehensive understanding of the self-aware security concept, with emphasis on its hierarchical security architecture that enables system-level accountability, and (2) a deep dive into each layer supported by algorithms and a security-specific in-vehicle black box with external virtual security operation center (VSOC) interactions. In contrast to the present in-vehicle security measures, this architecture introduces characteristics and properties that enact self-awareness through system-level accountability. It implements hierarchical layers that enable real-time monitoring, analysis, decision-making, and in-vehicle and remote site integration regarding security-related decisions and activities.https://www.mdpi.com/1424-8220/23/21/8817securitycybersecurityautonomous vehiclesconnected vehiclesself-aware architectureintelligent vehicles |
| spellingShingle | Akwasi Adu-Kyere Ethiopia Nigussie Jouni Isoaho Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability Sensors security cybersecurity autonomous vehicles connected vehicles self-aware architecture intelligent vehicles |
| title | Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability |
| title_full | Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability |
| title_fullStr | Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability |
| title_full_unstemmed | Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability |
| title_short | Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability |
| title_sort | self aware cybersecurity architecture for autonomous vehicles security through system level accountability |
| topic | security cybersecurity autonomous vehicles connected vehicles self-aware architecture intelligent vehicles |
| url | https://www.mdpi.com/1424-8220/23/21/8817 |
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