Network attack recovery method of cascaded condition-based energy generative adversarial network

Abstract

The invention discloses a network attack recovery method for a cascaded condition-based energy generative adversarial network, which comprises the following steps of: representing a sensor measurement value in flow data as input, and generating feature data by using a trained model; taking feature data generated by the trained condition-based generative adversarial network as additional information and splicing with random noise to serve as input; calculating the absolute error between the recovery data and the real data, and the time required by different model training and the space required to be occupied, and measuring the performance difference between different models by using the indexes. The condition-based generative adversarial network model used in the method can quickly simulate behavior features during system schedule operation, the proposed condition-based energy generative adversarial network can effectively improve the recovery precision of the measured value, and the designed adaptive decision strategy can improve the recovery stability of the measured value. And the possibility of generating abnormal points is reduced.

Description

technical field [0001] The invention belongs to the technical field of network information security, relates to network attack recovery technology, and particularly relates to a cascade game-based deep learning model. Background technique [0002] With the continuous integration of industrialization and informatization, industrial control systems increasingly adopt standardized communication protocols, software and hardware, and realize remote control and operation through the Internet. Although this method significantly improves the efficiency of complex industrial systems, this connection breaks the closedness and proprietary nature of the original system, causing network security issues such as ransomware attacks and information leakage to spread rapidly to the industrial control field, directly affecting a large number of Industrial control related infrastructure security. Cyber-attacks against industrial control systems are intended to destroy control-related data in c...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a network attack recovery method and system based on conditional energy generation against the network, which is used to solve the problem that the accuracy of data recovery depends on the accuracy of physical system modeling in the existing network attack recovery methods , and the existing network attack recovery technology based on deep learning, the problem of poor recovery accuracy and stability caused by the difficult control of the training process

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