Feature extraction method, system and equipment for distributed photovoltaic terminal high-concealment attack and medium

The invention discloses a feature extraction method, system, equipment and medium for distributed photovoltaic terminal high-concealment attack, and belongs to the field of intelligent power grid network security. The method comprises the following steps: analyzing a distributed photovoltaic terminal high-concealment attack link, and determining a high-concealment attack type; based on the highly hidden attack type, constructing a highly hidden attack behavior analysis and feature recognition method; and fusing the field knowledge features and the business behavior features obtained through the highly hidden attack behavior analysis and feature recognition method to complete feature extraction. The method comprises the following steps: firstly, analyzing an attack process of a high-concealment attack, carding attack types and influence consequences, and defining an attack link; secondly, carrying out feature extraction work on the three distributed photovoltaic terminal high-concealment attacks, and establish