Information security risk assessment system and method based on big data and edge computing

The invention discloses an information security risk assessment method based on big data and edge computing, and the method is characterized in that the method comprises the following steps: S1, a client device carries out the statistics of the number of attacks per unit time, the time of attacking each time, and the records of websites recently visited by a user on the device through a defense system of a network; according to the system and method, technologies such as big data and edge computing are applied, so that the system is more accurate in information security risk assessment feedback, and when the to-be-managed equipment does not receive a control instruction sent by the management equipment for a long time, the edge computing technology is applied to analyze data on the equipment under the condition that the operation of the current equipment is not influenced, and the self equipment is controlled according to an analysis result, so that the time of alternating current feedback between the equipme