| Title | Method of Detecting FDI Attacks on Smart Grid |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Martovytskyi, Vitalii, Ruban, Igor, Lahutin, Hennadiy, Ilina, Irina, Rykun, Volodymyr, Diachenko, Vladyslav |
| Conference Name | 2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S T) |
| Keywords | Complexity theory, compositionality, Correlation, cyber-physical system, FDI, Human Behavior, human factors, IDS, Intelligent sensors, pubcrawl, Real-time Systems, resilience, Resiliency, Sensor systems, Smart grid, Smart Grid Sensors, Smart grids, Spatiotemporal phenomena |
| Abstract | Nowadays energy systems in many countries improve and develop being based on the concept of deep integration of energy as well as infocomm grids. Thus, energy grids find the possibility to analyze the state of the whole system in real time, to predict the processes in it, to have interactive cooperation with the clients and to run the appliance. Such concept has been named Smart Grid. This work highlights the concept of Smart Grid, possible vectors of attacks and identification of attack of false data injection (FDI) into the flow of measuring received from the sensors. Identification is based on the use of spatial and temporal correlations in Smart Grids. |
| DOI | 10.1109/PICST51311.2020.9468005 |
| Citation Key | martovytskyi_method_2020 |
Method of Detecting FDI Attacks on Smart Grid