Hybrid Emission Detection for Network Device Identification
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Solution Overview
Problem
Existing methods are inadequate for detecting, identifying, and geolocating electronic devices connected to a network, particularly those using wireless connections or masked hardwired connections, and for identifying devices in proximity to connected devices.
Innovation Solution
A system that employs an emission detection apparatus and network data collection methods to sense, process, and match electromagnetic emissions with signature templates, using both intended and unintended emissions to detect, identify, and geolocate electronic devices, incorporating multiple algorithms and data from network transmissions and physical emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network data collection methods are used to detect devices, then detection capability is improved, but devices using wireless connections or masked hardwired connections cannot be reliably detected
Solution Approach 1:
The patent combines network data collection methods with electromagnetic emission detection to create a hybrid detection system. This merging allows the system to detect devices through multiple channels - both network transmissions and physical emissions - thereby reliably detecting devices regardless of their connection type (wired, wireless, or masked).
Solution Approach 2:
The patent introduces electromagnetic emission detection as an intermediary method to bridge the gap between network-based detection and physical device detection. This intermediary approach allows detection of devices that are not fully accessible through network protocols alone, particularly wireless and masked connections.
2Measurement precision
If only intended emissions are used for detection, then detection accuracy is improved, but unintended information and emissions are ignored
Solution Approach 1:
The patent converts unintended emissions, which are typically considered noise or interference, into useful detection signals. By analyzing electromagnetic emissions that devices give off during normal operation, the system gains additional identification characteristics without requiring changes to the devices themselves. This transforms what was previously wasted energy into valuable detection data.
Solution Approach 2:
The patent creates a multi-functional detection system that processes both intended and unintended emissions through a unified analysis framework. The system can identify devices using multiple types of signals (network data, intentional emissions, and unintentional emissions), making the detection process more robust and versatile.
3Measurement precision
If multiple algorithms and data sources are integrated, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the detection system into distinct functional modules: network data collection, electromagnetic emission detection, signature template generation, and device identification. Each module handles a specific aspect of the detection process, making the overall complex system more manageable and maintainable while preserving the benefits of integrated multi-source analysis.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate detection, identification, and geolocation of electronic devices connected to a network, as well as devices in their vicinity, providing health monitoring and diagnostics, and enhancing marketing and security applications by leveraging both intended and unintended emissions.
Implementation Method 1
sensing, with the emission detection apparatus, emission radiated from the at least one device
Data Source
AI summary
An emissions detection apparatus for at least one of detecting, identifying, diagnosing and geolocating an electronic device or an information transmitted from the electronic device includes an emissions collections device connected to an antenna receiving emission of an electromagnetic energy emitted from the electronic device and collecting a spectral data emitted from the electronic device; one or more algorithms processing the collected spectral data, algorithms selected from a group consisting of a peak detection algorithm, a multiple peak detection algorithm, a harmonic correlation algorithm, a non-harmonic correlation algorithm, a time correlation algorithm, a phase correlation algorithm, and a duty cycle timing correlation algorithm; and one or more algorithms matching the processed spectral data to an emissions template, wherein a match of the processed spectral data with the emissions template at least one of detects, identifies, diagnoses and geolocates the electronic device or the information transmitted from the electronic device.