An Anomalous Traffic Detection Method for Distributed Photovoltaic Safety State Baseline

With the rapid development of information technology and electric power business, modern power grid system gradually integrates computer intelligent technology, in which distributed photovoltaic network, as a key sustainable energy power supply system, has a large number of intelligent terminal devices. However, this integration is also accompanied by the escalation of network security threats, the diversity of intelligent terminal devices and distributed application scenarios bring more and more complex security problems, for the traffic problem of inter-device transmission, in order to prevent the server from being attacked by traffic initiated from abnormal distributed devices. In this paper, we propose an anomalous traffic detection technique based on distributed PV security state baseline. By counting and calculating the information entropy of the four characteristic attributes, the corresponding security baseline is generated, and the generated security state baseline is used to quantify the state changes before and after the attack, so as to realize the accurate detection of anomalous traffic and ensure the reliability and security of the power system.