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Improving the Jamming Resilience of a Cooperative Adaptive Cruise Controller
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability. (Dependable Transport Systems)ORCID iD: 0000-0003-0148-533X
RISE Research Institutes of Sweden. (Dependable Transport Systems)ORCID iD: 0000-0001-9536-4269
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2025 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents the results of extensive simulations to assess the resilience of several Cooperative Adaptive Cruise Control (CACC algorithms against barrage jamming. CACC is an extension of ACC that utilizes V2V communication to maintain string stability and appropriate inter-vehicle spacing in automotive platooning systems. We conduct simulations using four existing CACC algorithms: two employ a Constant Time Headway (CTH) policy, and two employ a Constant Vehicle Spacing (CVS) policy.CACC algorithms based on the CTH policy primarily rely on local sensor data, whereas those following the CVS policy depend mainly on information received from other vehicles via wireless communication.Our simulations show that CTH-based algorithms are resilient to barrage jamming attacks. In contrast, CVS-based algorithms are highly vulnerable due to the lack of fallback mechanisms for handling communication failures. However, since CVS enables higher traffic density and flow, we investigate whether a CVS-based algorithm can achieve jamming resilience comparable to that of CTH-based algorithms.To this end, we propose two extensions to one of the CVS-based CACC algorithms to improve its jamming resilience. Our results demonstrate that both extensions significantly reduce the number of collisions compared to the original CVS implementation. Notably, one of the proposed extensions enables the CVS-based CACC algorithm to achieve the same level of jamming resilience as the tested CTH algorithms.

Place, publisher, year, edition, pages
2025.
Keywords [en]
Simulation-based testing, Jamming attacks, Jamming resilience, Cooperative Adaptive Cruise Control (CACC), Platooning applications
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ri:diva-79020OAI: oai:DiVA.org:ri-79020DiVA, id: diva2:1999625
Conference
International Conference on Intelligent Transport Systems
Available from: 2025-09-22 Created: 2025-09-22 Last updated: 2025-11-18

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Malik, Mateen

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf