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Ontology Based Anomaly Detection for Cellular Vehicular Communications

Quentin Ricard 1 Philippe Owezarski 1
1 LAAS-SARA - Équipe Services et Architectures pour Réseaux Avancés
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : Intelligent Transportation Systems are being deployed all over the world, providing new applications and services that could prevent accidents, help regulate traffic and the automotive industry in designing energy efficient vehicles. However, enabling vehicles to communicate with the rest of the world ultimately leads to new security challenges with connected vehicles becoming new interesting targets for malicious actors. Thus, safeguards need to be deployed to detect malicious and anomalous activities in vehicular communications. This paper presents an approach to anomaly detection based on an ontological representation of cellular vehicular communication.
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Contributor : Quentin Ricard <>
Submitted on : Tuesday, November 5, 2019 - 11:06:12 AM
Last modification on : Thursday, June 10, 2021 - 3:05:59 AM
Long-term archiving on: : Thursday, February 6, 2020 - 3:57:43 PM


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  • HAL Id : hal-02347432, version 1


Quentin Ricard, Philippe Owezarski. Ontology Based Anomaly Detection for Cellular Vehicular Communications. 10th European Congress on Embedded Real Time Software and Systems (ERTS 2020), Jan 2020, Toulouse, France. ⟨hal-02347432⟩



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