Mobile Platform Ecosystem Data Capture System
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Solution Overview
Problem
Monitoring and documenting the complex and dynamic technical configurations of mobile transportation platforms and their ecosystems is challenging due to their mobility and variability, making it difficult to understand and protect them from malicious threats and changes.
Innovation Solution
A system that designates an ecosystem around a mobile transportation platform, collects data on systems, devices, networks, and signals, and stores it as a technical fingerprint data record, tagged with timestamps and geolocation, for use in audits, analytics, and security assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive data collection on mobile transportation platforms and their ecosystems is implemented, then monitoring and diagnostic capability is improved, but system complexity and difficulty of implementation increase
Solution Approach 1:
The patent segments the monitoring system into multiple independent data collection modules, each responsible for specific ecosystem components (mobile platform, ground infrastructure, networks, devices). This segmentation allows comprehensive monitoring capability while managing system complexity through modular design, where each module can be developed, deployed, and maintained independently.
Solution Approach 2:
The patent introduces an intermediary data collection and processing layer between the complex ecosystem components and the analysis system. This intermediary layer standardizes data formats, handles data aggregation, and provides a unified interface for monitoring, thereby reducing the complexity of directly interfacing with diverse ecosystem components.
2Reliability
If real-time data capture and analysis of mobile platforms is achieved, then security threat detection is improved, but data processing requirements and resource consumption increase
Solution Approach 1:
The patent implements preliminary data filtering, validation, and preprocessing at the data collection stage before data is transmitted for analysis. By performing these actions in advance, the system reduces the volume and complexity of data requiring intensive processing later, thereby lowering overall resource consumption while maintaining security detection effectiveness.
Solution Approach 2:
The patent applies different data processing strategies to different types of data based on their security criticality and characteristics. High-priority security-related data receives immediate and intensive processing, while less critical data undergoes lighter processing or batch analysis, optimizing resource allocation according to local data quality and importance.
3Loss of information
If detailed technical fingerprinting of ecosystems is implemented, then configuration change tracking is improved, but data storage requirements and processing overhead increase
Solution Approach 1:
The patent extracts and stores only the essential configuration parameters and technical fingerprint characteristics that are critical for change detection, rather than storing complete raw data sets. This extraction approach maintains configuration tracking accuracy by preserving key identifying features while significantly reducing data storage requirements.
Solution Approach 2:
The patent creates simplified representative copies (technical fingerprints) of complex ecosystem configurations instead of storing complete configuration data. These fingerprints capture the essential characteristics needed for change detection and tracking, providing an efficient representation that reduces storage overhead while maintaining sufficient information for security analysis.
Data Source
AI summary
An approach is provided for mobile transportation platform data capture. The approach, for instance, involves collecting through electronic means, a comprehensive aggregation of technical computing data, communications data, control systems data, systems configuration data, and network data on mobile transportation platforms (e.g., aircraft, automobiles, trains, ships, etc.) and the ecosystems they operate in. This would create a single comprehensive, searchable, repository of technical data for a specific, mobile platform event stamped for time and/or location.