On Security Supporting in Edge Computing-Based Smart Grid

In smart grid systems, there are intrusions that are difficult to detect using traditional surveillance based approaches. Despite the degradation of the quality of service, the statistical characteristics of the system may not differ from the normal situation. However, such intrusions can be identified by analyzing the nature of the change in quality of experience. Random fluctuations can lead to false alarms, the number of those cases is desirable to minimize. This paper discusses intelligent methods for smart grid security supporting. The proposed MEC-enabled approach does not require heavy calculations and can be adapted to various practical situations. The results of an experimental study are also presented.