Machine flow detection method and device, equipment and storage medium

By aggregating and analyzing traffic data in multiple dimensions, the problem of difficulty in identifying machine traffic in existing technologies has been solved, achieving more efficient and accurate machine traffic detection and improving network security.

CN116781544BActive Publication Date: 2026-06-09CHINA TELECOM CORP LTD TECHNOLOGY INNOVATION CENTER +1
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA TELECOM CORP LTD TECHNOLOGY INNOVATION CENTER
Filing Date
2023-07-07
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately identify machine traffic, especially machine traffic triggered by spoofed random times, making it difficult to prevent cybersecurity threats.

Method used

By aggregating the traffic data to be detected, a set of traffic data containing the same source network address is generated. Based on user information and access address information, multiple detection parameters are determined, including user similarity and address similarity. These parameters are comprehensively analyzed to determine whether the traffic is machine traffic.

Benefits of technology

It improves the accuracy and efficiency of machine traffic detection, effectively distinguishes between machine-generated traffic and real user traffic, reduces the adverse impact on network resources, and enhances network security.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN116781544B_ABST
    Figure CN116781544B_ABST
Patent Text Reader

Abstract

The application discloses a machine traffic detection method and device, equipment and a storage medium, and relates to the technical field of network and information security. The traffic data to be detected is subjected to an aggregation operation, a traffic data set containing multiple pieces of traffic data with the same source network address is obtained, a first detection parameter of the traffic data set in the user similarity dimension is determined according to the user information of each piece of traffic data in each traffic data set, a second detection parameter of the traffic data set in the address similarity dimension is determined according to the access address information of each piece of traffic data, the traffic data set is subjected to machine traffic detection according to the first detection parameter and the second detection parameter, and whether the traffic data set belongs to machine traffic is determined, so that the efficiency and accuracy of machine traffic detection are improved, and network information security is ensured.
Need to check novelty before this filing date? Find Prior Art