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.
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Figure CN119628878A_ABST
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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