A method and device for dynamically identifying a drone protocol fingerprint
By extracting multi-layer features from UAV communication data packets to construct protocol fingerprint feature vectors, and using similarity algorithms and classification models to identify UAV protocols, the problem of mismatched protocol identification in existing technologies is solved, achieving higher identification accuracy and stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHAN HAOAO AVIATION TECH CO LTD
- Filing Date
- 2026-05-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing drone protocol identification systems cannot accurately distinguish between structural and behavioral differences between different protocols in scenarios involving mixed access of multiple drone brands, complex electromagnetic interference environments, and dynamic protocol expansion. This leads to mismatches in protocol identification results and poses a risk of communication control anomalies.
By acquiring the communication data packets of the target UAV, features from the physical layer, data link layer, network layer, and application layer are extracted to construct a protocol fingerprint feature vector. The protocol fingerprint similarity is calculated using the weighted cosine similarity algorithm, KL divergence algorithm, and dynamic time warping algorithm. The communication protocol type is identified by combining the protocol classification model, and protocol semantic consistency verification and dynamic sorting are performed in complex scenarios.
It improves the accuracy of identifying communication protocols for various types of heterogeneous UAVs, reduces protocol confusion and mismatch, enhances the stability and reliability of communication protocol identification results, and improves the adaptability to protocol variants and dynamically evolving protocols.
Smart Images
Figure CN122420187A_ABST