Smart Grids Monitoring: A fog-computing strategy to detect anomalies

Smart meters with enhanced capabilities of communication and control will contribute to adapt and tune energy delivery more efficiently. However, this opens the door to new threats that should be early detected in order to execute the countermeasure processes as soon as possible. According to this, unexpected changes in the energy consumption (among other aspects) must be monitorized since they also be the evidence that something wrong is happening. In this paper, we introduce a fog computing approach that supports a distributed analysis of the consumption data and also establishes the bases for a location certification mechanism that avoid the injection of false data in the smart grid monitoring system