
Research Article
Improving the Jamming Resilience of a Cooperative Adaptive Cruise Controller
@INPROCEEDINGS{10.1007/978-3-032-38705-9_3, author={Mateen Malik and Ludvig Ohlsson and Karthik Sharma and Behrooz Sangchoolie and Johan Karlsson}, title={Improving the Jamming Resilience of a Cooperative Adaptive Cruise Controller}, proceedings={Intelligent Transport Systems. 9th EAI International Conference, INTSYS 2025, Marietta, GA, USA, December 10, 2025, Proceedings}, proceedings_a={INTSYS}, year={2026}, month={10}, keywords={Simulation-based testing Jamming attacks Jamming resilience Cooperative Adaptive Cruise Control (CACC) Platooning applications}, doi={10.1007/978-3-032-38705-9_3} }- Mateen Malik
Ludvig Ohlsson
Karthik Sharma
Behrooz Sangchoolie
Johan Karlsson
Year: 2026
Improving the Jamming Resilience of a Cooperative Adaptive Cruise Controller
INTSYS
Springer
DOI: 10.1007/978-3-032-38705-9_3
Abstract
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, such as the use of local sensors. 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 extensions enables the CVS-based CACC algorithm to achieve the same level of jamming resilience as the tested CTH algorithms.

