Publisher DOI: 10.1109/VNC61989.2024.10576017
10.48550/arXiv.2405.01324
Title: A framework for the systematic assessment of anomaly detectors in time-sensitive automotive networks
Language: English
Authors: Meyer, Philipp  
Häckel, Timo  
Lübeck, Teresa 
Korf, Franz 
Schmidt, Thomas C.  
Editor: Ishihara, Susumu 
Shigeno, Hiroshi 
Altintas, Onur 
Fujii, Takeo 
Frank, Raphael 
Klingler, Florian 
Hardes, Tobias 
Keywords: Automotive Security; Time Sensitive Networking; Intrusion Detection; Simulation; Anomaly Detection
Issue Date: 2024
Publisher: IEEE
Part of Series: 2024 IEEE Vehicular Networking Conference (VNC) : 29-31 May 2024 
Startpage: 57
Endpage: 64
Conference: IEEE Vehicular Networking Conference 2024 
URI: https://hdl.handle.net/20.500.12738/19520
ISBN: 979-8-3503-6270-1
979-8-3503-6271-8
ISSN: 2157-9865
Review status: This version was peer reviewed (peer review)
Institute: Department Informatik (ehemalig, aufgelöst 10.2025) 
Fakultät Technik und Informatik (ehemalig, aufgelöst 10.2025) 
Type: Chapter/Article (Proceedings)
Additional note: Preprint: https://doi.org/10.48550/arXiv.2405.01324. Verlagsversion: https://doi.org/10.1109/VNC61989.2024.10576017.
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