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2020 | OriginalPaper | Buchkapitel

Integrating Adversary Models and Intrusion Detection Systems for In-vehicle Networks in CANoe

verfasst von : Camil Jichici, Bogdan Groza, Pal-Stefan Murvay

Erschienen in: Innovative Security Solutions for Information Technology and Communications

Verlag: Springer International Publishing

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Abstract

In-vehicle buses and the Controller Area Network (CAN) in particular have been shown to be vulnerable to adversarial actions. We embed adversary models and intrusion detection systems (IDS) inside a CANoe based application. Based on real-world CAN traces collected from several vehicles we build attack traces that are subject to intrusion detection algorithms. We also take benefit from existing machine-learning support in MATLAB that is ported via C++ code in CANoe in order to integrate intrusion detection functionality. A unified framework for attacks and intrusion detection has the benefit of providing a testbed for various intrusion detection algorithms. CANoe integration makes the use of these functionalities ready for realistic testing as CANoe is an industry-standard tool in the automotive domain.

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Titel: Integrating Adversary Models and Intrusion Detection Systems for In-vehicle Networks in CANoe
verfasst von: Camil Jichici
Bogdan Groza
Pal-Stefan Murvay
Verlag: Springer International Publishing
Buch: Innovative Security Solutions for Information Technology and Communications
Print ISBN: 978-3-030-41024-7

Electronic ISBN: 978-3-030-41025-4

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-41025-4_16

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