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RIPOSTE: A Collaborative Cyber Attack Response Framework for Automotive Systems
RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems. Gothenburg University, Sweden; Chalmers University of Technology, Sweden; Volvo Car Corporation, Sweden.ORCID iD: 0000-0001-5656-9253
RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems. RISE Research Institutes of Sweden, Safety and Transport, Maritime department. Chalmers University of Technology, Sweden. (Digital Innovation)ORCID iD: 0000-0002-9587-3423
Chalmers University of Technology, Sweden.
Hamburg University of Technology, Germany.
2022 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The automotive domain has got its own share of advancements in information and communication technology, providing more services and leading to more connectivity. However, more connectivity and openness raise cyber security and safety concerns. Indeed, services that depend on online connectivity can serve as entry points for attacks on different assets of the vehicle. This study explores collaborative ways of selecting response techniques to counter real-time cyber attacks on automotive systems. The aim is to mitigate the attacks more quickly than a single vehicle would be able to do, and increase the survivability chances of the collaborating vehicles. To achieve that, the design science research methodology is employed. As a result, we present RIPOSTE, a framework for collaborative real-time evaluation and selection of suitable response techniques when an attack is in progress. We evaluate the framework from a safety perspective by conducting a qualitative study involving domain experts. The proposed framework is deemed slightly unsafe, and insights into how to improve the overall safety of the framework are provided.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2022.
Keywords [en]
automotive security, response techniques, connected cars, vehicle collaboration, resilient systems
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:ri:diva-61531OAI: oai:DiVA.org:ri-61531DiVA, id: diva2:1719679
Conference
48th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA)
Funder
Vinnova, 2019-03071Available from: 2022-12-15 Created: 2022-12-15 Last updated: 2025-09-23Bibliographically approved

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fulltext(341 kB)241 downloads
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Authority records

Jolak, RodiRosenstatter, Thomas

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CiteExportLink to record
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