Traffic detection method and system

Abstract

The invention discloses a traffic detection method. The method comprises the steps of classifying the preset number of captured data packets, thereby obtaining a normal traffic data matrix and an abnormal traffic data matrix; training an initial logistic regression model through utilization of the normal traffic data matrix and an abnormal traffic data matrix, thereby obtaining a logistic regression model; and detecting traffic data through utilization of the logistic regression model, thereby classifying traffic data into normal traffic data and abnormal traffic data. According to the method and the system, the problems that an existing traffic detection method is long in delayed time, complex in model and insufficient in robustness are solved; the accuracy of a detection and identification process is high, and the identification efficiency is increased. The invention also discloses a traffic detection system which has the above-mentioned beneficial effects.

Description

Technical field [0001] This application relates to the field of traffic detection, and in particular to a traffic monitoring method and system deployed on a cloud platform. Background technique [0002] Cloud platforms provide cloud computing, which is the most popular topic in recent years, and is considered to be another information technology revolution after the Internet. When developers develop Internet applications, they need to rent and configure and maintain servers by themselves. In the era of cloud platforms, they only need to migrate their business or applications to the cloud platform for use. Developers do not need to care about a series of server problems, but only focus on the development business itself, to improve development speed and quality. At the same time, it is also an important form of information infrastructure and application service models in the Internet era, and it is also an inevitable trend for the intensive development of a new generation of info...

AI Technical Summary

Problems solved by technology

[0006] The purpose of this application is to provide a method that can solve the problem of abnormal traffic classification and identification, in order to face complex and changeable abnormal traffic data

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