State snapshot-based large language model-driven ssh honeypot response control method and device, equipment and storage medium
By using explicit state snapshot representation and multi-dimensional consistency verification, the problem of inconsistent state in large language model-driven SSH honeypots during long-term interactions is solved, achieving strict self-consistency of state under arbitrary interaction length and significantly extending the honeypot's deception success time.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID QINGHAI ELECTRIC POWER COMPANY
- Filing Date
- 2026-04-08
- Publication Date
- 2026-06-02
AI Technical Summary
Existing SSH honeypot systems based on large language models cannot maintain the monotonic consistency of file system state, runtime context state, and system metadata during long-term interactions, which allows attackers to quickly identify honeypots and makes it impossible to achieve long-term effective threat intelligence collection.
An explicit state snapshot representation is adopted. By obtaining the attacker's command and the current state snapshot, multiple candidate responses are generated by calling the large language model, and file system consistency, timing consistency and structural integrity are verified. Finally, the state snapshot is updated according to the target response to form a closed loop of incremental state update.
It achieves strict self-consistency of the state of the file system, runtime context, and system metadata under arbitrary interaction length, effectively suppresses phantom output, and significantly extends the number of interaction rounds required for the honeypot to be identified by the attacker.
Smart Images

Figure CN122137664A_ABST