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A framework for demonstrating and mitigating CAN injection attacks in vector CANoe: a case study using ABS
Publikationstyp
Conference Paper
Date Issued
2025-09-28
Sprache
English
Citation
17th International Conference on Advances in System Modeling and Simulation, SIMUL 2025
Contribution to Conference
Publisher
IARIA
ISBN of container
978-1-68558-300-2
Modern vehicles rely heavily on the Controller Area Network (CAN) for communication between electronic control units, yet CAN lacks inherent security features like authentication, making it susceptible to attacks, such as message injection. In this paper, we develop a means of simulating and visualizing the effect of an attack on the communication traffic and the actual system and the effect of a countermeasure. Our tool is based on Vector CANoe simulation and demonstrates a CAN message injection attack and a simple rule-based Intrusion Detection System (IDS). The setup includes a custom Graphical User Interface (GUI) for interactive demonstration. This framework serves as an educational tool and a foundation for future research into more advanced attack and defense scenarios. This work takes a step towards developing simulation platforms or frameworks for security of in-vehicle networks that are flexible and based on industry suitable toolchains.
Subjects
Controller Area Network (CAN)
In-vehicle Network Security
Simulation
Demonstration for Education
DDC Class
005: Computer Programming, Programs, Data and Security