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.

CN121596859BActive Publication Date: 2026-06-30TONGJI UNIV +1

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

Technical Problem

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.

Method used

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.

Benefits of technology

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.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121596859B_ABST
    Figure CN121596859B_ABST
Patent Text Reader

Abstract

This invention provides a multi-dimensional dynamic monitoring and early warning method and system for smart device security. The method includes continuously monitoring all operations and state changes of the smart device in real time, digitizing its behavior to form a device behavior sequence, and identifying abnormal sequences that deviate from the normal behavior pattern of the smart device. A preset smart home scenario logic is transformed into a predictive path model for security analysis, and this model is compared with the abnormal sequences. The causal chain of the TTP knowledge graph is used to determine whether the abnormal sequences constitute a security risk. The comparison results and security risk status are presented intuitively in the form of a heatmap to show the risk distribution and intensity of devices or areas. It can also integrate the analysis of unprotected major disaster types generated by TTP prediction and the protection effect diagram based on the ATT&CK framework. This invention solves the problems of low efficiency, incomplete coverage, and limitation to "single-point alarms" in existing smart home security solutions.
Need to check novelty before this filing date? Find Prior Art