Description
The security of a vehicular ad-hoc network is integral to its ability to function correctly, as the topology is far more
dynamic than in traditional networks, and no central entity is needed to enable communication. If needed, vehicles
can act as relays on their own to span up a route in this fast-changing form of network. Such so-called VANets are
used in the connected mobility domain for cooperation tasks. These networks are essential for bringing across vital
information about current events like road closures or traffic hazards. Even more important than the delivery of such
information is its authenticity. Over the last years, these networks have risen in popularity, with organizations like ETSI
and the IEEE starting to standardize protocols and other mechanisms that make up the network stack. This thesis
introduces a test bed for the distributed trust algorithm by Madl based on the framework for misbehavior detection.
Additionally, it puts forward an improvement to the original concept for securing an intelligent autonomous vehicle network.
The modification is evaluated in the newly developed test bed alongside the original concept in a simulation of a European city.
The simulation evaluates that while the original proposal already fares well in everyday situations, it has problems unfolding its
functionality when presented with small traffic amounts. The resulting modification shows an improvement in the ability of
misbehavior punishment in the network, even in lower traffic volume scenarios.
|