Publications in 2021 of type Article, Conference Proceedings and Edited Conference Proceedings (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}
  }

• Tobias Haugg, Mohammad Fazel Soltani, Timo Häckel, Philipp Meyer, Franz Korf, and Thomas C. Schmidt. Simulation-based Evaluation of a Synchronous Transaction Model for Time-Sensitive Software-Defined Networks. In: Proceedings of the 8th International OMNeT++ Community Summit 2021. Oct. 2021,
  [Abstract], [Slides (pdf)], [ArXiv], [Bibtex]

  Real-time networks based on Ethernet require robust quality-of-service for time-critical traffic. The Time-Sensitive Networking (TSN) collection of standards enables this in real-time environments like vehicle on-board networks. Runtime reconfigurations in TSN must respect the deadlines of real-time traffic. Software-Defined Networking (SDN) moves the control plane of network devices to the SDN controller, making these networks programmable. This allows reconfigurations from a central point in the network. In this work, we present a transactional model for network reconfigurations that are synchronously executed in all network devices. We evaluate its performance in a case study against non-transactional reconfigurations and show that synchronous transactions enable consistency for reconfigurations in TSN without increased latencies for real-time frames.

  @InProceedings{   hshmk-ssttn-21,
    author        = {Tobias Haugg and Mohammad Fazel Soltani and Timo
                    H{\"a}ckel and Philipp Meyer and Franz Korf and Thomas C.
                    Schmidt},
    title         = {{Simulation-based Evaluation of a Synchronous Transaction
                    Model for Time-Sensitive Software-Defined Networks}},
    booktitle     = {Proceedings of the 8th International OMNeT++ Community
                    Summit 2021},
    month         = oct,
    year          = 2021,
    eprinttype    = {arxiv},
    eprint        = {2110.00236},
    abstract      = {Real-time networks based on Ethernet require robust
                    quality-of-service for time-critical traffic. The
                    Time-Sensitive Networking (TSN) collection of standards
                    enables this in real-time environments like vehicle
                    on-board networks. Runtime reconfigurations in TSN must
                    respect the deadlines of real-time traffic.
                    Software-Defined Networking (SDN) moves the control plane
                    of network devices to the SDN controller, making these
                    networks programmable. This allows reconfigurations from a
                    central point in the network. In this work, we present a
                    transactional model for network reconfigurations that are
                    synchronously executed in all network devices. We evaluate
                    its performance in a case study against non-transactional
                    reconfigurations and show that synchronous transactions
                    enable consistency for reconfigurations in TSN without
                    increased latencies for real-time frames. },
    groups        = {own, publications, simulation, omnet},
    langid        = {english},
    archiveprefix = {arXiv},
    primaryclass  = {cs.NI}
  }