Waveform Vulnerability Scoring for Threat-Aware Signal Assessment
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Solution Overview
Problem
Current waveform assessment tools lack the ability to quantify threats, evaluate vulnerabilities, and compare waveforms effectively, leading to costly and risky implementations with unknown performance, especially in commercial and government entities.
Innovation Solution
A WAVE tool that analyzes waveforms using a set of metrics, generates scores, and allows for comparison and customization, incorporating machine learning for optimization, providing a graphical user interface for ease of use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If waveform implementation is performed without prior assessment, then deployment speed is improved, but waveform vulnerability and detection probability increase
Solution Approach 1:
The patent implements preliminary waveform assessment and vulnerability analysis before waveform deployment. The system evaluates waveforms against multiple metrics including detection probability, interception probability, and compatibility with threat receivers, allowing organizations to identify and remediate vulnerabilities before implementation, thus resolving the contradiction between fast deployment and reliable operation
Solution Approach 2:
The system provides feedback mechanisms that quantify waveform performance and vulnerabilities through automated assessment tools. By measuring waveforms against established metrics and providing actionable feedback, the system enables continuous improvement of waveform security while maintaining deployment efficiency
2Measurement precision
If comprehensive waveform assessment is performed, then waveform vulnerability quantification is improved, but assessment time and complexity increase
Solution Approach 1:
The patent segments the waveform assessment process into multiple independent metrics and evaluation categories. Each metric (detection probability, interception probability, compatibility) can be assessed separately and aggregated, allowing for comprehensive evaluation without requiring monolithic assessment time, thus resolving the contradiction between measurement precision and assessment time
Solution Approach 2:
The system uses parameter-based assessment where waveforms are evaluated against configurable metrics and thresholds. By changing assessment parameters and priorities based on specific operational needs, the system can provide accurate vulnerability quantification while adapting assessment depth to time constraints
3Productivity
If new waveforms are implemented without evaluation, then innovation speed is improved, but risk of high detection probability increases
Solution Approach 1:
The patent implements preliminary evaluation of new waveforms before deployment using automated assessment tools that measure detection probability and other performance metrics. This allows innovative waveforms to be rapidly evaluated for security risks before implementation, resolving the contradiction between innovation speed and detection probability
Solution Approach 2:
The system creates virtual models and simulations of waveforms for assessment purposes, allowing comprehensive evaluation of new waveforms without physical deployment. This copying approach enables rapid iteration and evaluation of waveform innovations while identifying detection vulnerabilities before real-world implementation
4Measurement precision
If waveform assessment tools are developed, then vulnerability identification is improved, but device complexity and cost increase
Solution Approach 1:
The patent introduces automated software-based assessment tools as intermediaries between waveform developers and threat environments. These tools provide sophisticated vulnerability analysis through standardized metrics without requiring complex physical testbeds or threat receiver hardware, resolving the contradiction between identification accuracy and device complexity
Solution Approach 2:
The system replaces physical waveform testing with threat receivers with computational assessment models and simulations. By substituting mechanical/physical testing infrastructure with software-based analysis, the system achieves accurate vulnerability identification while reducing device complexity and cost
Data Source
AI summary
A waveform analysis and vulnerability assessment (WAVE) tool is disclosed that can analyze the characteristics and vulnerabilities of waveforms. The WAVE tool may identify issues in waveforms prior to their implementation in a transmit device or building the back-end processing to receive the waveform at a ground station. The WAVE tool may quantify waveform vulnerabilities, address which vulnerabilities a particular waveform has, and enable the user to modify the waveform design to optimize its performance against threats prior to implementation. Additionally, the WAVE tool may save time and money since new waveforms can be vetted against the tool before implementation. Data from waveforms can be analyzed against a plurality of metrics and scores can be generated providing a quantitative assessment of waveform performance.