Method and system for judging whether network communication behavior is abnormal or not and electronic equipment

Abstract

The invention relates to a method and system for judging whether a network communication behavior is abnormal or not and electronic equipment, and aims to judge whether the network communication behavior is abnormal or not according to a group of network communication data to be judged with the same communication information and a neural network model based on a neural network and corresponding to the same communication information. The implementation difficulty is low, detection personnel do not need to have deep industry knowledge and cognition, the technical threshold is low, and the learning cost of the detection personnel is reduced.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method, system and electronic equipment for judging whether network communication behavior is abnormal. Background technique [0002] Within an industrial control environment, there are a large number of devices and equipment operating in real time. A large number of network communications will be carried out between these devices and equipment for exchanging information, reporting data, sending control instructions, and so on. However, these devices and equipment have the possibility of natural damage, hijacking and attack, which will cause the basic functions inside the industrial control environment to be disturbed and destroyed. At present, by establishing an untrustworthy communication behavior detection algorithm, the mathematical principles are complicated, and the pre-processed data features in the algorithm require the detection personnel to have profound indus...

AI Technical Summary

Problems solved by technology

However, these devices and equipment have the possibility of natural damage, hijacking and attack, which will cause the basic functions inside the industrial control environment to be disturbed and destroyed

At present, by establishing an untrustworthy communication behavior detection algorithm, the mathematical principles are complicated, and the pre-processed data features in the algorithm require the detection personnel to have profound industry knowledge and cognition, and the technical threshold is high, resulting in high learning costs and implementation. higher difficulty;

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