A method and system for multi-dimensional dynamic monitoring and early warning of smart device security
By using a multi-dimensional dynamic monitoring and early warning method and system for smart device security, combined with TTP knowledge graph and industrial-grade risk transmission model, a qualitative leap has been achieved from single-point alarm to system immunity. This solves the problems of insufficient depth, breadth and foresight in smart home security assessment, and improves the system's self-protection capabilities and operation and maintenance efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TONGJI UNIV
- Filing Date
- 2025-12-08
- Publication Date
- 2026-06-30
AI Technical Summary
Existing smart home security solutions are insufficient in depth, breadth, and foresight. They are unable to fully cover potential attack scenarios, lack automated and quantifiable assessment methods, cannot deeply judge scenario logic problems, lack risk propagation analysis capabilities, are difficult to understand complex data, and cannot achieve a qualitative leap from single-point alarms to system immunity.
By employing a multi-dimensional dynamic monitoring and early warning method and system for intelligent device security, and adopting a "three-stage leap" of digitalizing the device behavior chain, logicalizing the scenario, and visualizing the risk, combined with TTP knowledge graph and industrial-grade risk transmission model, the system monitors device behavior in real time, dynamically simulates risk propagation, provides heat map visualization and automated assessment, and achieves system immunity.
It has achieved a qualitative leap from single-point alarms to system immunity, improved assessment efficiency and coverage, quantified the protective effect of security devices, reduced the workload of operation and maintenance personnel, enhanced the system's self-protection and self-recovery capabilities, can identify key nodes and prioritize hardening, provide intuitive risk visualization and optimization suggestions, and enhance the ability to defend against attacks first.
Smart Images

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