Trust Based Multi-Agent Filtering for Increased Smart Grid Security
Ion Matei, Vijay Srinivasan
We address the problem of state estimation of the power system for the Smart Grid.We assume that the monitoring of the electrical grid is done by a network of agents with both computing and communication capabilities. We propose a security mechanism aimed at protecting the state estimation process against false data injection originating from faulty equipment or cyber-attack. Our approach is based on a multi-agent filtering scheme, where in addition to taking measurements, the agents are also computing local estimates based on their own measurements and on the estimates of the neighboring agents. We combine the multi-agent filtering scheme with a trust-based mechanism under which each agent associates a trust metric to each of its neighbors. These trust metrics are taken into account in the filtering scheme such that information transmitted from agents with low trust is disregarded. In addition, a mechanism for the trust metric update is also introduced, which ensures that agents that diverge considerably from their expected behavior have their trust values lowered.
Proceedings of the 2nd IEEE International Conference on Smart Grid Communications (SmartGridComm)
October 17-20, 2011
smart grid, electric system, digital computing, Supervisory Control and Data Acquisition (SCADA), multi-agent filtering scheme, trust-based mechanism
and Srinivasan, V.
Trust Based Multi-Agent Filtering for Increased Smart Grid Security, Proceedings of the 2nd IEEE International Conference on Smart Grid Communications (SmartGridComm), Brussels,
(Accessed December 8, 2023)