Electromagnetic Leakage Signal Identification via Information Entropy
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Solution Overview
Problem
Existing red signal detection methods for electromagnetic leakage are limited in universality due to the need for specific device knowledge and spectral templates, making them ineffective for diverse information devices.
Innovation Solution
An electromagnetic leakage red and black signal identification method based on information entropy characteristics, which involves measuring and calculating the entropy change of signals in idle and information processing states to differentiate between red and black signals without prior knowledge of device characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency domain correlation methods are used for red signal detection, then detection accuracy for specific devices is improved, but device complexity and lack of universality worsen
Solution Approach 1:
The patent transforms the detection approach from frequency domain correlation to time domain information entropy analysis. By changing the fundamental parameter domain (from frequency to time) and the analytical metric (from correlation coefficient to information entropy), the method achieves device-agnostic detection that works across different device types without requiring prior spectral template acquisition
Solution Approach 2:
The patent extracts the essential characteristic of red signals as information content changes during operation, rather than relying on specific frequency spectral features. By focusing on the extracted information entropy metric that captures the essence of information processing activity, the method removes the dependency on device-specific frequency characteristics, thereby achieving both high detection accuracy and broad universality
2Reliability
If spectral template acquisition is required before detection, then detection reliability for known devices is improved, but ease of operation and applicability worsen
Solution Approach 1:
Instead of requiring preliminary acquisition of spectral templates for each device type, the patent performs preliminary characterization of the device's idle state electromagnetic emissions. This initial measurement establishes a baseline that enables subsequent red signal detection through information entropy comparison, eliminating the need for extensive pre-acquisition of device-specific spectral signatures while maintaining detection reliability
Solution Approach 2:
The detection system performs self-characterization by automatically measuring the device's idle state emissions and using this information to establish detection thresholds. The system serves itself by adapting to each device through automatic baseline establishment rather than requiring manual template configuration, thereby improving ease of operation while maintaining reliable detection across diverse devices
3Measurement precision
If device-specific knowledge is required for detection, then detection precision for targeted devices is improved, but adaptability to new devices worsens
Solution Approach 1:
The patent creates a universal detection method that functions across multiple device types by using information entropy as a device-agnostic metric. The approach measures electromagnetic emissions in the time domain and analyzes information content changes, which is applicable to any electronic device performing information processing, thereby achieving both precise red signal identification and broad cross-device adaptability
Data Source
AI summary
An electromagnetic leakage red and black signal identification method based on information entropy characteristics includes: acquiring electromagnetic information leakage signals of an information device in an idle state and an information processing state respectively, and calculating information entropy of the electromagnetic leakage signals in the idle state and the information processing state; and calculating an information entropy change of the electromagnetic leakage signals caused by information processing, and determining whether an electromagnetic leak contains red signals when the device processes information according to the information entropy change, so as to give an electromagnetic leakage red and black signal identification result. The electromagnetic leakage red and black signal identification method is suitable for identifying electromagnetic leakage red and black signals of various types of information technology devices without the prior knowledge of specific device leakage signal characteristics or red signal templates, exhibiting great universality.