Trust Management Framework for Misbehavior Detection in Collective Perception Services
Résumé
Collective Perception Messages (CPM) enable vehicles
to share their perceived objects with their neighbors
in V2X network. These perception data extend local vehicles’
perception and consequently improve road safety awareness.
However, attacks on perception data are challenging and require
advanced and efficient misbehavior detection mechanism
especially in specific road scenarios where contradictory information
need to be analysed. In this work, we introduce a trust
management framework to detect misbehaving nodes through
transmitted CPM messages. Our framework is based on trust
assessment built through several processing steps. It addresses
conflict situation when contradictory data are received using
the Subjective Logic mechanism. The results show that our
solution is effective in detecting misbehaving nodes based on
their attributed trust scores. In addition, we show the impact
of our solution and some CPM configuration parameters on
safety services and especially on risk anticipation in intersection
scenarios.
Domaines
Cryptographie et sécurité [cs.CR]
Origine : Fichiers produits par l'(les) auteur(s)