Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Converged communication network traffic anomaly detection method and system

A technology of network traffic and converged communication, which is applied in the field of abnormal detection method and system of converged communication network traffic, can solve problems such as falling into local optimum, and achieve the effects of simple and efficient implementation, performance improvement and important application value

Active Publication Date: 2021-02-23
北京电信易通信息技术股份有限公司
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when faced with complex optimization problems, the algorithm may fall into a local optimum, so a new optimization algorithm is urgently needed to reduce the possibility of it falling into a local optimum, so as to obtain the best results in the parameter optimization of machine learning algorithms. Optimal parameters, effectively improve the performance of the algorithm, and improve the accuracy of traffic anomaly detection in the converged communication network

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Converged communication network traffic anomaly detection method and system
  • Converged communication network traffic anomaly detection method and system
  • Converged communication network traffic anomaly detection method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] 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 making creative efforts belong to the protection scope of the present invention.

[0060] The purpose of the present invention is to provide a method and system for detecting abnormal traffic in a converged communication network, so as to improve the accuracy of detecting abnormal traffic in a converged communication network.

[0061] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying draw...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a converged communication network traffic anomaly detection method and system. The method comprises the following steps: acquiring flow data of a converged communication network; determining a network flow anomaly detection model by adopting a non-greedy teaching and learning optimization algorithm based on K-fold cross validation according to the flow data; and determining the network flow state of the converged communication network to be detected by adopting the network anomaly detection model according to the network state data, the protocol analysis data and the service operation state data of the converged communication network to be detected. The accuracy of flow anomaly detection of the converged communication network is improved.

Description

technical field [0001] The invention relates to the fields of converged communication networks and machine learning, in particular to a method and system for detecting traffic anomalies in a converged communication network. Background technique [0002] With the development of communication technology and information technology, the types of communication networks are becoming more and more complex, the network scale is expanding, and the converged communication services based on IP networks are increasing. The converged communication of communication technology and information technology has become an important development of current telecom operators. one of the directions. Converged communication is based on IP communication, with VoIP, video communication, multimedia conferencing, collaborative office and instant messaging as its core business capabilities, providing users with access to the network anytime and anywhere to enjoy various services of unified communication....

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/02G06N20/00H04L29/06
CPCG06N3/02G06N20/00H04L63/1425G06F18/2411G06F18/214
Inventor 焦显伟陶子元
Owner 北京电信易通信息技术股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com