Method for processing signaling protocol data packets in a communication network
By processing signaling protocol PCAP data using a large language model (LLM) and a hierarchical identity selection algorithm, abnormal request/response pairs are identified and analyzed. This solves the problem of signaling protocol data packet identification and fault diagnosis in the prior art, and achieves efficient and accurate fault cause analysis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HONG KONG APPLIED SCI & TECH RES INST
- Filing Date
- 2026-01-26
- Publication Date
- 2026-06-05
AI Technical Summary
Existing technologies struggle to efficiently identify and analyze signaling protocol data packets in communication networks, especially in automatically identifying abnormal messages and fault causes within complex and ever-changing PCAP data, leading to difficulties in fault diagnosis.
By combining a large language model (LLM) with a hierarchical identity selection algorithm, key fields of the signaling protocol PCAP data are extracted, a summary and a complete PCAP file are generated, abnormal request/response pairs are identified, and the deep thinking capabilities of LLM are used for root cause analysis.
It enables automatic identification of abnormal message pairs from millions of PCAP (Programmable Message Protocol) messages, simplifies the fault diagnosis process, improves the accuracy and efficiency of fault cause analysis, and reduces the complexity of analysis.
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