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2022
- Timo Häckel, Philipp Meyer, Franz Korf, and Thomas C. Schmidt. Secure Time-Sensitive Software-Defined Networking in Vehicles. In: . Jan. 2022,
[Abstract], [DOI], [ArXiv], [Bibtex]Current designs of future In-Vehicle Networks (IVN) prepare for switched Ethernet backbones, which can host advanced LAN technologies such as IEEE Time-Sensitive Networking (TSN) and Software-Defined Networking (SDN). In this work, we present an integrated Time-Sensitive Software-Defined Networking (TSSDN) architecture that simultaneously enables control of synchronous and asynchronous real-time and best-effort traffic for all IVN traffic classes using a central SDN controller. We validate that the control overhead of SDN can be added without a delay penalty for TSN traffic, provided protocols are properly mapped. Based on our TSSDN concept, we demonstrate adaptable and reliable network security mechanisms for in-vehicle communication. We systematically investigate different strategies for integrating in-vehicle control flows with switched Ether-networks and analyze their security implications for a software-defined IVN. We discuss embeddings of control flow identifiers on different layers, covering a range from a fully exposed mapping to deep encapsulations. We experimentally evaluate these strategies in a production vehicle which we map to a modern Ethernet topology. Our findings indicate that visibility of automotive control flows on lower network layers is essential for providing isolation and access control throughout the network infrastructure. Such a TSSDN backbone can establish and survey trust zones within the IVN and reduce the attack surface of connected cars in various attack scenarios.
@Article{ hmks-stsdn-22, author = {Timo H{\"a}ckel AND Philipp Meyer AND Franz Korf AND Thomas C. Schmidt}, title = {{Secure Time-Sensitive Software-Defined Networking in Vehicles}}, month = jan, year = 2022, doi = {https://doi.org/10.48550/arXiv.2201.00589}, eprinttype = {arxiv}, eprint = {2201.00589}, abstract = {Current designs of future In-Vehicle Networks (IVN) prepare for switched Ethernet backbones, which can host advanced LAN technologies such as IEEE Time-Sensitive Networking (TSN) and Software-Defined Networking (SDN). In this work, we present an integrated Time-Sensitive Software-Defined Networking (TSSDN) architecture that simultaneously enables control of synchronous and asynchronous real-time and best-effort traffic for all IVN traffic classes using a central SDN controller. We validate that the control overhead of SDN can be added without a delay penalty for TSN traffic, provided protocols are properly mapped. Based on our TSSDN concept, we demonstrate adaptable and reliable network security mechanisms for in-vehicle communication. We systematically investigate different strategies for integrating in-vehicle control flows with switched Ether-networks and analyze their security implications for a software-defined IVN. We discuss embeddings of control flow identifiers on different layers, covering a range from a fully exposed mapping to deep encapsulations. We experimentally evaluate these strategies in a production vehicle which we map to a modern Ethernet topology. Our findings indicate that visibility of automotive control flows on lower network layers is essential for providing isolation and access control throughout the network infrastructure. Such a TSSDN backbone can establish and survey trust zones within the IVN and reduce the attack surface of connected cars in various attack scenarios.}, groups = {own, publications, simulation, tsn, security, sdn}, langid = {english} }
2021
- Philipp Meyer, Timo Häckel, Sandra Reider, Franz Korf, and Thomas C. Schmidt. Network Anomaly Detection in Cars: A Case for Time-Sensitive Stream Filtering and Policing. In: . Dec. 2021,
[Abstract], [ArXiv], [Bibtex]Connected cars are vulnerable to cyber attacks. Security challenges arise from vehicular management uplinks, from signaling with roadside units or nearby cars, as well as from common Internet services. Major threats arrive from bogus traffic that enters the in-car backbone, which will comprise of Ethernet technologies in the near future. Various security techniques from different areas and layers are under discussion to protect future vehicles. In this paper, we show how Per-Stream Filtering and Policing of IEEE Time-Sensitive Networking (TSN) can be used as a core technology for identifying misbehaving traffic flows in cars, and thereby serve as network anomaly detectors. TSN is the leading candidate for implementing quality of service in vehicular Ethernet backbones. We classify the impact of network attacks on traffic flows and benchmark the detection performance in each individual class. Based on a backbone topology derived from a real car and its traffic definition, we evaluate the detection system in realistic scenarios with real attack traces. Our results show that the detection accuracy depends on the precision of the in-vehicle communication specification, the traffic type, the corruption layer, and the attack impact on the link layer. Most notably, the anomaly indicators of our approach remain free of false positive alarms, which is an important foundation for implementing automated countermeasures in future vehicles.
@Article{ mhrks-nadct-21, author = {Philipp Meyer AND Timo H{\"a}ckel AND Sandra Reider AND Franz Korf AND Thomas C. Schmidt}, title = {{Network Anomaly Detection in Cars: A Case for Time-Sensitive Stream Filtering and Policing}}, month = dec, year = 2021, eprinttype = {arxiv}, eprint = {2112.11109}, abstract = {Connected cars are vulnerable to cyber attacks. Security challenges arise from vehicular management uplinks, from signaling with roadside units or nearby cars, as well as from common Internet services. Major threats arrive from bogus traffic that enters the in-car backbone, which will comprise of Ethernet technologies in the near future. Various security techniques from different areas and layers are under discussion to protect future vehicles. In this paper, we show how Per-Stream Filtering and Policing of IEEE Time-Sensitive Networking (TSN) can be used as a core technology for identifying misbehaving traffic flows in cars, and thereby serve as network anomaly detectors. TSN is the leading candidate for implementing quality of service in vehicular Ethernet backbones. We classify the impact of network attacks on traffic flows and benchmark the detection performance in each individual class. Based on a backbone topology derived from a real car and its traffic definition, we evaluate the detection system in realistic scenarios with real attack traces. Our results show that the detection accuracy depends on the precision of the in-vehicle communication specification, the traffic type, the corruption layer, and the attack impact on the link layer. Most notably, the anomaly indicators of our approach remain free of false positive alarms, which is an important foundation for implementing automated countermeasures in future vehicles.}, groups = {own, publications, simulation}, langid = {english} }
2019
- Till Steinbach. Ethernet-based Network Architectures for Future Real-time Systems in the Car. In: ATZ worldwide. Pages 72—77, Jul. 2019,
[Online], [DOI], [Bibtex]@Article{ s-enafr-19, author = {Steinbach, Till}, title = {Ethernet-based Network Architectures for Future Real-time Systems in the Car}, journal = {ATZ worldwide}, month = jul, year = 2019, pages = {72--77}, volume = {121}, number = {7}, url = {https://doi.org/10.1007/s38311-019-0071-x}, issn = {2192-9076}, doi = {10.1007/s38311-019-0071-x}, day = {01}, groups = {own, publications}, langid = {english} }