2019/05/22 by Johannes Müller, Müller, Johannes, Tobias Meuser +5 · 1 citation
Computer Science · #Network Security and Intrusion Detection #Logic, Reasoning, and Knowledge
paper · pdf · doi:10.48550/arxiv.1905.09065
Cooperative information shared among a multi-agent system (MAS) can be useful\nto agents to efficiently fulfill their missions. Relying on wrong information,\nhowever, can have severe consequences. While classical approaches only consider\nmeasurement uncertainty, reliability information on the incoming data can be\nuseful for decision making. In this work, a subjective logic based mechanism is\nproposed that amends reliability information to the data shared among the MAS.\n If multiple agents report the same event, their information is fused. In\norder to maintain high reliability, the mechanism detects and isolates\nmisbehaving agents. Therefore, an attacker model is specified that includes\nfaulty as well as malicious agents. The mechanism is applied to Intelligent\nTransportation Systems (ITS) and it is shown in simulation that the approach\nscales well with the size of the MAS and that it is able to efficiently\ndetected and isolated misbehaving agents.\n Keywords: Multi-agent systems, Fault Detection, Sensor/data fusion, Control\nApplications\n