  Cooperative information shared among a multi-agent system (MAS) can be useful
to agents to efficiently fulfill their missions. Relying on wrong information,
however, can have severe consequences. While classical approaches only consider
measurement uncertainty, reliability information on the incoming data can be
useful for decision making. In this work, a subjective logic based mechanism is
proposed that amends reliability information to the data shared among the MAS.
  If multiple agents report the same event, their information is fused. In
order to maintain high reliability, the mechanism detects and isolates
misbehaving agents. Therefore, an attacker model is specified that includes
faulty as well as malicious agents. The mechanism is applied to Intelligent
Transportation Systems (ITS) and it is shown in simulation that the approach
scales well with the size of the MAS and that it is able to efficiently
detected and isolated misbehaving agents.
  Keywords: Multi-agent systems, Fault Detection, Sensor/data fusion, Control
Applications
