EMI Fingerprint Synchronization via Signal Compression
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Solution Overview
Problem
Modern computer operating systems with time-sliced execution speed up and slow down workload execution, making it difficult to effectively detect unwanted electronic components using electromagnetic interference (EMI) fingerprints, as the EMI fingerprints become variable and less effective or useless for detection.
Innovation Solution
A compression/dilation technique is applied to time-series signals in the target EMI fingerprint to synchronize them with corresponding signals in a reference EMI fingerprint, using moving time windows to achieve optimal alignment and compensate for variable execution speeds, allowing for effective comparison and detection of unwanted components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If time-sliced execution is used in modern operating systems to improve productivity, then system efficiency and multitasking capability are improved, but EMI fingerprint stability deteriorates making detection unreliable
Solution Approach 1:
The patent applies dynamics by introducing a compression/dilation technique that dynamically adjusts the timing of EMI signal sampling. The system monitors the actual execution timeline of the workload and dynamically resamples EMI signals at compressed or dilated time intervals to synchronize with the reference fingerprint, accommodating the variable timing caused by time-sliced execution while maintaining detection reliability
Solution Approach 2:
The patent changes the temporal parameters of EMI signal acquisition by applying compression and dilation factors to the sampling timeline. This transforms the fixed sampling schedule into a variable one that adapts to the actual execution speed variations, ensuring that EMI fingerprints remain comparable despite productivity improvements from time-slicing
2Reliability
If lockstep operating system is used to generate reference EMI fingerprint to ensure consistency, then EMI fingerprint stability is improved, but device complexity and implementation cost increase
Solution Approach 1:
Instead of using a complex lockstep OS that perfectly replicates timing, the patent creates a computational copy of the reference fingerprint and applies compression/dilation transformations to it. This allows the system to work with standard operating systems while maintaining the ability to compare EMI fingerprints reliably, avoiding the need for specialized lockstep hardware or software
3Device complexity
If EMI signals are sampled at fixed time intervals to simplify processing, then processing complexity is reduced, but detection accuracy deteriorates due to variable execution speed
Solution Approach 1:
The system dynamically adjusts sampling intervals based on the actual execution timeline detected from the workload. By monitoring when EMI signals are naturally generated during variable-speed execution and applying compression/dilation factors, the system maintains high detection accuracy without requiring overly complex fixed-interval sampling schemes
Data Source
AI summary
The disclosed embodiments provide a system that detects unwanted electronic components in a target asset. During operation, the system obtains target electromagnetic interference (EMI) signals by monitoring EMI signals generated by the target asset while the target asset is running a periodic workload. Next, the system generates a target EMI fingerprint from the target EMI signals. The system then applies a compression/dilation technique to time-series signals in the target EMI fingerprint to achieve alignment with corresponding time-series signals in a reference EMI fingerprint to produce a synchronized target EMI fingerprint. Finally, the system compares the synchronized target EMI fingerprint against the reference EMI fingerprint to determine whether the target asset contains any unwanted electronic components.