| Title | Monitoring of Cyber Intrusion in Wireless Smart Grid Network Using Weight Reduction Technique |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Gupta, Praveen Kumar, Singh, Neeraj Kumar, Mahajan, Vasundhara |
| Conference Name | 2020 International Conference on Electrical and Electronics Engineering (ICE3) |
| Date Published | feb |
| Keywords | compositionality, cyber intrusion, False Data Injection Cyber Attack (FDICA), Human Behavior, human factors, pubcrawl, resilience, Resiliency, Smart grid, Smart Grid Sensors, Weight Reduction Technique (WRT), Wireless Sensors (WS) |
| Abstract | The dependency of the smart grid is higher in terms of Wireless Sensors (WS) for flexible monitoring and control. Sensor nodes are required to sense, collect and process the real-time data and transfer it to the monitoring stations. Mostly, it is deployed in extremely rural areas where human access is limited making it vulnerable to cyber intrusion. In this paper, an easy, efficient and low memory usage program is proposed to detect False Data Injection Cyber Attack (FDICA) in very little time to protect the smart grid network. Each bus of the IEEE test system is represented by a connected graph node having a weight equal to 1. During FDICA the weight of the node changes and triggers the alarm if the change is below the predefined threshold value. MATLAB software is used to evaluate the performance of the proposed method under different conditions. Simulation results indicate that the proposed method detects the FDICA in minimal time increasing the resilience capability of the smart grid. |
| DOI | 10.1109/ICE348803.2020.9122981 |
| Citation Key | gupta_monitoring_2020 |
Monitoring of Cyber Intrusion in Wireless Smart Grid Network Using Weight Reduction Technique