Forensic Data Visualization Apparatus for Multi-Source Correlation
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Solution Overview
Problem
Existing forensic data visualization tools are limited in expressing correlations between data from various sources and formats, struggling to effectively visualize data collected from multiple sources, which is crucial for comprehensive forensic investigations and user behavior analysis.
Innovation Solution
An apparatus and method that includes a single-data collecting unit, first and second multi-data generating units, and a data visualizer to normalize and visualize data from diverse sources and formats, enabling the visualization of single-source and multi-source data, including computer, portable, and social network service data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing forensic visualization tools are used, then data from a single source can be visualized, but data from multiple sources with different formats cannot be effectively mixed and expressed
Solution Approach 1:
The patent introduces an intermediary component that translates and normalizes data from multiple different formats and sources into a unified representation. This intermediary layer handles the complexity of format conversion and correlation establishment, allowing the visualization system to work with diverse data sources without requiring the entire system to become overly complex. The intermediary acts as a bridge between heterogeneous data sources and the visualization interface.
Solution Approach 2:
The visualization system is designed with universal capabilities to handle multiple data formats and sources through a common architecture. The system implements multi-functional data processing units that can interpret various forensic data formats (computer forensic data, portable forensic data, mobile device data, SNS forensic data) and transform them into a unified visualization framework, enabling one system to serve multiple data source requirements.
2Loss of information
If data from multiple sources is collected, then comprehensive forensic analysis is enabled, but the ability to visually express correlations between data becomes difficult
Solution Approach 1:
The patent segments the complex task of visualizing multi-source data correlations into manageable components. It divides the visualization into hierarchical levels: individual data items from single sources, grouped correlations within each source, and integrated correlations across multiple sources. This segmentation allows the system to handle comprehensive forensic information while making correlation detection feasible through structured, modular visualization elements.
Solution Approach 2:
The system employs dimensional transformation to represent correlations between multi-source data. It maps complex relational data into visual dimensions such as spatial positioning, connection lines, and hierarchical layering in the visualization interface. This dimensional change converts abstract correlation concepts into visually detectable patterns, enabling users to perceive relationships between data from different sources through spatial and graphical representations.
Data Source
AI summary
Proposed is a data visualizing apparatus for visualizing data as effectual information using a correlation between forensic data collected from various sources. The proposed data visualizing apparatus may visualize, as effectual information, single-source single-data, single-source multi-data, and multi-source multi-data.