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A flow detection method and device

A technology of flow detection and flow, applied in transmission systems, electrical components, etc., can solve the problems of low accuracy of abnormal flow detection and unknown flow classification, and achieve the effect of improving accuracy

Active Publication Date: 2020-03-06
BEIJING QIYI CENTURY SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When unknown traffic data appears, because there is no corresponding training data set for learning, the unknown traffic cannot be accurately classified, resulting in low accuracy of abnormal traffic detection

Method used

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  • A flow detection method and device
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  • A flow detection method and device

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Embodiment Construction

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0050] In order to solve the problems in the prior art, embodiments of the present invention provide a flow detection method and device, which will be described in detail below.

[0051] It should be noted that machine learning is divided into supervised learning and unsupervised learning. Supervised learning uses pre-marked samples to train the samples to be tested. The corresponding classification algorithms include logistic regression algorithm, support vector ma...

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Abstract

The embodiment of the invention discloses a flow detection method and device. The method comprises the following steps: performing characteristic processing on a log containing flows to be detected, and obtaining characteristics of each flow to be detected; according to the characteristics, detecting a characteristic vector of each flow to be detected; clustering the characteristic vector by using a preset clustering algorithm; classifying clustering results by respectively using each classification algorithm and a preset training dataset in the preset clustering algorithm; and according to the classification results of each classification algorithm, the preset training dataset and a preset decision tree algorithm, detecting whether the flow to be detected corresponding to each characteristic vector is an abnormal flow. With the embodiment of the invention, the accuracy rate of abnormal flow detection is improved.

Description

technical field [0001] The invention relates to the field of abnormal flow detection, in particular to a flow detection method and device. Background technique [0002] With the development of Internet technology, network applications have been greatly popularized, and the access of unknown computers may cause abnormal network traffic. Abnormal traffic is one of the problems that cause network security. It refers to the traffic pattern that adversely affects normal network use and controls and destroys the target host. Common forms include Trojan horse viruses, network worms, and distributed denial of service attacks. Therefore, it is very important to quickly detect abnormal traffic from the network to protect network security. [0003] The existing abnormal traffic detection is detected by a machine learning algorithm based on supervised learning. The specific process is: use the pre-collected training data set (traffic of blacklist and traffic of whitelist) and classific...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/06
CPCH04L63/1425
Inventor 陈永环张迪张晓明赵冲翔
Owner BEIJING QIYI CENTURY SCI & TECH CO LTD