Data monitoring method, device and system

By intercepting system call events in the operating system kernel space and using EBPF to capture and parse network packets, the performance and versatility issues of existing network traffic monitoring solutions are resolved, achieving efficient, real-time, and non-intrusive multi-protocol monitoring.

CN121486484APending Publication Date: 2026-02-06JD DIGITS HAIYI INFORMATION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202511851046.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-09
Publication Date
2026-02-06

AI Technical Summary

Technical Problem

Existing network traffic monitoring solutions suffer from high performance overhead, inability to meet real-time monitoring needs, complex deployment, intrusiveness to user applications, increased development and maintenance costs, inability to monitor all network interactions, monitoring blind spots, and a lack of versatility and scalability.

Method used

The system intercepts system call events in the operating system's kernel space, captures packets through the Extended Berkeley Packet Filter (EBPF), checks the status of protocol monitoring switches, identifies application protocol types using identification strategies, parses the data using a parser, generates structured monitoring data, and adaptively sends it to user space.

Benefits of technology

It achieves full-coverage network data monitoring, reduces performance overhead, improves real-time performance and versatility, reduces system resource consumption, supports monitoring of multiple protocols, and ensures the continuity and efficiency of data monitoring without requiring system restarts.

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Abstract

The invention provides a data monitoring method, device and system, and relates to the technical field of computers. The method comprises the following steps: intercepting a system call event in a kernel space of an operating system to capture a data packet transmitted between specified components through a network; checking the state of the plurality of protocol monitoring switches to determine a currently enabled protocol monitoring switch; identifying the application protocol type of the data packet by using an identification strategy matched with the currently started protocol monitoring switch; analyzing the data packet by using an analyzer matched with the application protocol type to obtain an analysis result; generating structured monitoring data according to an analysis result; and sending the structured monitoring data to the user space. By means of the method, self-adaptive monitoring can be efficiently and accurately conducted on network communication data of multiple application protocols, and the universality and expandability of data monitoring are improved.
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