Abnormal network flow backtracking method and system based on Bayesian

Abstract

The invention discloses a Bayesian-based abnormal network traffic backtracking method and system. The method comprises the following steps: step 1, obtaining an abnormal traffic backtracking analysis range through a 95 billing traffic algorithm; 2, aiming at different light attenuation commands acquired by different network devices, executing an operation command corresponding to the adaptive network device through a network device adaptive program to acquire a light attenuation value when abnormal traffic occurs, and storing the light attenuation value into a light attenuation database; and step 3, constructing a Bayesian traffic backtracking model, analyzing the light attenuation data of the light attenuation database in combination with a preset historical fault database, obtaining the probability that the traffic after abnormal traffic backtracking in a specified time period is close to the real traffic, and the larger the probability is, the higher the authenticity of the backtracking is. According to the invention, artificial intelligence data analysis is carried out on the abnormal network traffic by combining the 95 traffic calculation method with the light attenuation index, an intelligent traffic backtracking method with a reference value and a scientific basis is provided, and the status of artificial intelligence in traffic backtracking is highlighted.

Description

technical field [0001] The invention belongs to the technical field of network security, and in particular relates to a Bayesian-based abnormal network traffic backtracking method and system. Background technique [0002] Network security is an important part of the national security system. With the continuous improvement of the development of the network society and the increasing popularity of network applications, the network brings convenience to people, but also brings security risks that cannot be ignored. [0003] Abnormal network traffic information will cause technical difficulties and significant economic losses for data center network traffic cost accounting and network troubleshooting. In the computer room operation and network maintenance scenario, technicians cannot effectively process and solve the traffic cost accounting and traffic anomaly analysis caused by sudden abnormal network traffic. Contents of the invention [0004] The technical problem to be s...

AI Technical Summary

Problems solved by technology

[0003] Abnormal network traffic information will cause technical difficulties and significant economic losses for data center network traffic cost accounting and network troubleshooting

In the computer room operation and network maintenance scenario, technicians cannot effectively process and solve the traffic cost accounting and traffic anomaly analysis caused by sudden abnormal network traffic.

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