IVI Log Data Integration for Cross-Model Digital Forensics
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Solution Overview
Problem
The variability in structure and logging methods of Android-based vehicle infotainment systems poses challenges for standardized data collection and analysis in vehicle digital forensics, making it difficult to effectively collect and integrate log data from diverse vehicle models.
Innovation Solution
A method and device for collecting, analyzing, and integrating log data from in-vehicle infotainment systems by identifying vehicle and software information, collecting data through various modes, and storing it in an integrated database, along with a process to extract and analyze data that satisfies user-defined filters and reconstruct in a timeline format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current data collection and analysis technologies are used, then data collection from individual IVI systems can be performed, but standardization and effective accommodation of diverse Android-based IVI systems cannot be achieved
Solution Approach 1:
The patent creates a universal data collection framework that can accommodate multiple IVI system types (Jellybean, KitKat, and other Android-based systems) through a single standardized interface. The system automatically identifies the IVI system type and applies appropriate collection methods, enabling one system to serve multiple functions across diverse platforms without requiring separate specialized tools for each system variant.
Solution Approach 2:
The patent changes the parameter of data collection methodology based on the identified IVI system type. By detecting system characteristics and dynamically adjusting collection parameters and methods, the framework adapts to different Android versions and configurations while maintaining a consistent standardized output format, thus resolving the contradiction between adaptability and complexity.
2Loss of information
If comprehensive log data is collected from multiple sources, then analysis completeness is improved, but data integration and standardization become more difficult
Solution Approach 1:
The patent merges log data from multiple diverse sources (operating system logs, system application logs, user-installed application logs) into a single standardized integrated database. By applying uniform data formats and integration protocols across all data sources, the system achieves complete forensic data collection while simplifying the integration process through standardization, thus resolving the contradiction between information completeness and integration complexity.
3Ease of operation
If standardized data collection methods are implemented, then ease of operation is improved, but adaptability to different IVI system variations may be reduced
Solution Approach 1:
The patent implements a dynamic data collection system that automatically adjusts its methodology based on the detected IVI system characteristics. The system begins with standardized collection procedures and dynamically modifies its approach based on real-time system identification results, ensuring both ease of operation through automation and adaptability to system variations. This dynamic adjustment resolves the contradiction by making the standardized system flexible enough to handle diverse configurations.
Data Source
AI summary
A device and a method for collecting, analyzing and integrating log data of an in-vehicle infotainment (IVI) system are disclosed. The method for collecting, analyzing and integrating log data of an IVI system includes identifying model information of a vehicle to be a target of digital forensics, hardware information and software information related to the IVI system of the vehicle, collecting target data for the digital forensics based on the model information, the hardware information and the software information, and storing the collected target data in an integrated database.