A fog computing industrial protocol construction method and system based on a generative adversarial network

Abstract

The invention discloses a fog computing industrial protocol construction method based on a generative adversarial network. Different from a traditional defense method, a fog computing industrial control system model is adopted, a simulation protocol capable of being deployed to a honeypot system is constructed by utilizing a deep convolutional generative adversarial network, and then active defense and passive defense based on the honeypot technology are combined to protect the industrial system. The honeypot deployed outside the system not only can be used for knowing malicious behavior capture vulnerabilities of attackers, but also can be used for preventing and defending hackers' attacks to a certain extent, so that an active defense technology similar to the honeypot is necessary for afog computing industrial system with relatively low security. Deployment of an actual industrial protocol in a honey pot consumes time and labor, protocol information is exposed, potential safety hazards are caused, and the purpose of deception attackers cannot be well achieved by directly simulating a low-interaction static protocol flow rather than practically. Therefore, it is particularly important to construct a realistic simulation protocol to cheat an attacker.

Description

technical field [0001] The present invention relates to the field of fog computing industrial security, in particular to a method and system for constructing fog computing industrial protocols based on generative confrontation networks. Background technique [0002] Currently, on the one hand, security issues are becoming more challenging as industrial control systems evolve from isolated systems to interactive systems. Security incidents (such as Stuxnet and Duqu) have brought serious harm, so the security of industrial control systems has risen to the national strategic level and has been promoted in the global cyber-physical space. In recent years, the fog computing paradigm has brought intelligence down to industrial equipment in order to improve local computing capabilities, which further extends the concept of security to the boundaries of industrial networks. In the fog computing environment, in the face of increasingly complex industrial networks, it is not enough t...

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Problems solved by technology

In the field of security, there are also some studies that use machine learning models, but the new model of generative adversarial networks has not been used in depth.

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