Unified Digital Interaction Database for Cross-Platform Investigation
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Solution Overview
Problem
Modern criminal investigation techniques face challenges in integrating and analyzing diverse digital interaction data from various sources, such as cell phone records and social media, due to differences in data structures and formats, which hinders the ability to track individuals and determine interactions effectively.
Innovation Solution
A system and method for creating a digital interaction database by receiving and processing multiple datasets from different providers, including cell phone and social media records, to link and correlate digital interactions across platforms, using identifiers like phone numbers, email addresses, and usernames, and incorporating location and content data, to create a comprehensive interaction history.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital interaction data from multiple different providers is integrated into a unified database, then the comprehensiveness and investigative capability are improved, but the complexity of data integration and processing increases
Solution Approach 1:
The patent employs an intermediary processing system that receives data from multiple providers in different formats, standardizes it into a common structure, and stores it in a unified database. This intermediary layer handles the complexity of data integration internally while presenting a simplified interface to investigators, thus improving comprehensiveness without proportionally increasing operational complexity.
Solution Approach 2:
The system transforms digital interaction data from various providers by changing its structural parameters into a standardized format. Different data types (call logs, text messages, social media interactions) are converted into a unified schema with consistent fields for timestamps, participant identifiers, and interaction types, enabling comprehensive analysis while managing integration complexity through systematic parameter transformation.
2Adaptability or versatility
If multiple different data formats and structures from various providers are processed, then the variety of digital interactions tracked is improved, but the difficulty of data processing and standardization increases
Solution Approach 1:
The patent segments the data processing task into distinct stages: receiving raw data from different providers, parsing and validating each data type, transforming into standardized format, and storing in the unified database. This segmentation of the processing pipeline makes the complex standardization task manageable by handling each data type through systematic sub-steps.
Solution Approach 2:
The system implements a universal data structure that can accommodate multiple types of digital interactions (phone calls, texts, social media posts, location data) from different providers. This multi-functional schema design allows the database to handle diverse data varieties while using a single standardized template, reducing the difficulty of data standardization through universal design.
Data Source
AI summary
Systems and methods are disclosed for creating a digital interaction database. A first digital interaction dataset can be received. A second input file may be received. The first and second input files may include a plurality of digital records of interaction between individuals recorded by a different providers. In some embodiments, the second provider being different and distinct from the first provider. A digital interaction database may be created from digital records in both the first digital interaction dataset and the second input file. In some embodiments, each digital interaction within the digital interaction database comprises at least a date of the digital interaction, a time of the digital interaction, an identifier associated with the sender of the digital interaction, and an identifier associated with the receiver of the digital interaction.