Relational Modelling for Automotive Cybersecurity: Structural Transition and Graph-Topology-Based CAN Intrusion Detection.

Khreasat MK, González GV.

Open source

DOI: 10.3390/s26102964
Published: 2026-05-08
Container: Sensors (Basel)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26102964,
  title = {Relational Modelling for Automotive Cybersecurity: Structural Transition and Graph-Topology-Based CAN Intrusion Detection.},
  author = {Khreasat MK and  González GV.},
  year = {2026},
  journal = {Sensors (Basel)},
  doi = {10.3390/s26102964},
  url = {https://doi.org/10.3390/s26102964}
}

RIS

TY  - JOUR
TI  - Relational Modelling for Automotive Cybersecurity: Structural Transition and Graph-Topology-Based CAN Intrusion Detection.
AU  - Khreasat MK
AU  -  González GV.
PY  - 2026
JO  - Sensors (Basel)
DO  - 10.3390/s26102964
UR  - https://doi.org/10.3390/s26102964
ER  -

APA

MK, K., & GV., G. (2026). Relational Modelling for Automotive Cybersecurity: Structural Transition and Graph-Topology-Based CAN Intrusion Detection.. Sensors (Basel). https://doi.org/10.3390/s26102964

Source records

europe-pmc · retrieved 2026-09-25T12:01:25.498Z
doaj · retrieved 2026-09-25T12:01:25.486Z