Digital Twin Intrusion Detection for Embedded Nodes
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Solution Overview
Problem
Existing intrusion detection systems for embedded devices, particularly in vehicular networks, face challenges in resource-constrained environments and require complex analyses that increase operational costs and data transmission, making it difficult to detect sophisticated cyber intrusion attempts effectively.
Innovation Solution
A method utilizing a digital twin model where a second computing node monitors and compares characteristics of a first computing node, allowing for complex analyses without significant data transmission, using a digital model that mimics the first node's state and behavior to detect discrepancies indicative of cyber intrusions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If intrusion detection is performed using complex analysis methods, then detection accuracy improves, but computational resource consumption and data transmission increase
Solution Approach 1:
The patent creates a digital twin (copy) of the target computing node that replicates its software stack and execution behavior. This copy runs in a virtualized environment, allowing the system to analyze the node's behavior without directly consuming the node's limited computational resources. The digital twin receives the same input instructions and produces corresponding output characteristics for comparison, enabling sophisticated intrusion detection while preserving the original node's resources for its primary functions.
2Measurement precision
If more monitoring characteristics are analyzed, then intrusion detection capability improves, but communication overhead increases
Solution Approach 1:
The patent extracts only the essential output characteristics from the digital twin that are necessary for intrusion detection, rather than transmitting or analyzing all possible monitoring data. By identifying and extracting the most relevant behavioral indicators (such as timing characteristics, power consumption patterns, or performance metrics), the system achieves effective intrusion detection while minimizing communication overhead between the monitored node and the analysis system.
3Measurement precision
If a digital twin model is used for intrusion detection, then detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent introduces a digital twin as an intermediary between the target computing node and the intrusion detection analysis. This intermediary replicates the node's software stack and execution environment, allowing comprehensive behavioral analysis without directly modifying or complicating the target node's architecture. The digital twin serves as a safe sandbox for experimentation and analysis, isolating the complexity from the resource-constrained embedded system while enabling sophisticated detection capabilities.
Data Source
AI summary
A computer implemented method for intrusion detection performed at a first computing node. The method includes: obtaining, at the first computing node, at least one monitored characteristic of the first computing node during an operation of the first computing node associated with a state iteration of the first computing node, wherein the first monitored characteristic is indicative of an intrusion; and communicating, from the first computing node to a second computing node, the at least one monitored characteristic of the first computing node.