Traceability analysis and security protection method and device based on SIP protocol identification

By adding a SID field to the SIP signaling header and combining it with device certificate verification, the problem of insufficient signaling monitoring and security in the existing SIP protocol system is solved, enabling rapid identification and control of signaling and improving the security and stability of the communication system.

CN120934767BActive Publication Date: 2026-07-03JIANGSU NEW QUALITY INFORMATION TECH CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGSU NEW QUALITY INFORMATION TECH CO LTD
Filing Date
2025-08-05
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing real-time communication systems based on the SIP protocol cannot effectively monitor, identify, and control signaling transmission, and lack early warning mechanisms for unauthorized signaling, leading to security risks such as communication interruptions and information leaks.

Method used

By adding a device identifier and signature SID field to the SIP signaling header, and combining device certificate verification and source tracing analysis, signaling filtering, identifier addition and verification are performed through the signaling security gateway device to trace the origin and transmission path of abnormal signaling.

Benefits of technology

It enables convenient monitoring, rapid identification, and real-time control of SIP signaling, effectively identifies abnormal signaling and blocks it in a timely manner, thereby improving the stability and security of the real-time communication system.

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Abstract

The application discloses a kind of traceability analysis and security protection method and device based on SIP protocol identification, the method is first by thing networking collection monitoring station historical operation, meteorological and power generation data, and constructs device environment energy consumption library and environmental power generation library.Combined with environmental power generation library, future power generation is predicted using LSTM algorithm with future meteorological prediction data.Then the future equipment energy consumption is based on meteorological prediction using historical operation data to train equipment energy consumption prediction model.Combined with current battery power, the continuous standby time is calculated by energy balance formula.Finally, the device operation mode is dynamically adjusted according to the time, and maintenance reminder is generated.The application improves the energy utilization efficiency of monitoring station, realizes intelligent management, ensures the stable operation of monitoring station, and reduces operation and maintenance cost.
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