Matcher for Mobile Telephony and Network Identifier Association
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Solution Overview
Problem
Current technologies lack a solution for associating mobile telephony identifiers with computer network identifiers, which is essential for effective geolocation and communication, especially in scenarios where one network is down or for maximum diffusion of information.
Innovation Solution
A communication device that anonymously and reliably associates mobile telephony identifiers with computer network identifiers using a matcher that discards redundant trajectory data, calculates similarity values using DTW, LCSS, and PF distances, and transmits messages based on detected identifiers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If trajectory data from multiple occurrences at the same location are included, then the quantity of data increases, but the reliability of association decreases due to redundancy
Solution Approach 1:
The matcher extracts and removes redundant trajectory data associated with the same location and time period, keeping only unique trajectory segments for accurate identifier association
Solution Approach 2:
The system discards redundant trajectory data while recovering the essential association information between identifiers, achieving cleaner data for more reliable matching
2Loss of information
If all trajectory data is processed to associate identifiers, then the completeness of association increases, but the processing time increases
Solution Approach 1:
The system extracts only the necessary trajectory data features needed for identifier association, reducing processing volume while maintaining association completeness
Solution Approach 2:
The matcher processes trajectory data selectively, applying association algorithms only where needed rather than processing all data uniformly, reducing overall processing time
3Adaptability or versatility
If trajectory data from multiple networks is combined, then the versatility of geolocation services increases, but the complexity of data processing increases
Solution Approach 1:
The system segments trajectory data by network type and processes each segment separately through dedicated matchers, reducing overall processing complexity while maintaining multi-network versatility
Solution Approach 2:
The matcher is designed with universal functionality to handle different network types (telephony and computer networks) through a unified approach, reducing processing complexity despite multi-network support
Data Source
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Figure 6~7
AI summary
A communication device includes: - a memory (4) for receiving event data associating signaling data, a time marker and a mobile telephony identifier or a computer network identifier; an extractor (6) arranged to calculate trajectory data on the basis of the signaling data that signal event data comprising time markers designating consecutive times associated with a single mobile telephony identifier or a single computer network identifier; a matcher (8) arranged to calculate a similarity value between trajectory data, and to associate at least one mobile telephony identifier and one computer network identifier based on the similarity value calculated for trajectory data associated therewith.