Abnormal traffic detection method and device, electronic equipment and storage medium

CN119628878AActive Publication Date: 2025-03-14CHINA TELECOM NETWORK SECURITY TECH CO LTD

Patent Information

Application Number
CN202411642745.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-18
Publication Date
2025-03-14
Estimated Expiration
2044-11-18

AI Technical Summary

Technical Problem

The prior art requires each user request to be detected one by one in abnormal traffic detection, resulting in waste of resources and reduced detection efficiency.

Method used

By obtaining N user requests in the set time window, word segmentation is performed based on the word list, and the similarity between user requests is calculated for classification, reducing the number of detections.

Benefits of technology

There is no need to detect each user request one by one, reducing resource consumption and improving the efficiency of abnormal traffic detection.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an abnormal traffic detection method and device, electronic equipment and a storage medium, and relates to the technical field of network security. The method comprises the steps that firstly, N user requests in a set time window are obtained, word segmentation is conducted on the N user requests based on a word list, M user requests after word segmentation are obtained, then the similarity between any two user requests in the M user requests is calculated, the M user requests are classified based on the similarities, P user request sets are obtained, and the P user request sets are sent to a user terminal; and finally, according to any one of the user requests in the P user request sets, determining respective anomaly detection results of the N user requests, so as to improve the efficiency of anomaly traffic detection.
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Citation Information

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