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https://doi.org/10.1109/iv5515...
Article . 2024 . Peer-reviewed
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Article . 2024
License: CC BY
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Article . 2024
License: CC BY
Data sources: Datacite
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Advanced IDPS Architecture for Connected and Autonomous Vehicles

Authors: Hamad, Mohammad; Steinhorst, Sebastian; Kalli Valappil, Sherin; Vogel, Lars;

Advanced IDPS Architecture for Connected and Autonomous Vehicles

Abstract

Highly connected and automated driving technologies have ushered digital transformation and flexibility to modern cars. However, the vehicle’s attack surface has significantly expanded due to increased connectivity. To address this problem, automotive manufacturers are adopting more secure practices driven by standards and regulations. In addition to the deployed cryptographically strong security measures in automotive, weneed an Intrusion Detection and Prevention System (IDPS) that actively monitors the vehicle for intrusions, prevents them, and provides notification, as required by UN Regulation No. 155. In this work, we aim to identify the current limitations of the existing automotive approaches and contribute to an advancedIDPS solution. We propose architectural changes that improve reliability and form a framework to propose reactions in a safety-related automotive context. We evaluate our proposed architecture with regard to performance and security design. With the proposed changes to the IDPS architecture, our aim isto integrate a dynamic and adaptive strategy for IDPS, enhancing resilience against emerging threats and vulnerabilities

Related Organizations
Keywords

Security, Connected and Autonomous Vehicles, Intrusion Detection and Prevention

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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