Website User Identity Triangulation via Multi-Device Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies face challenges in accurately identifying website users, particularly anonymous users, due to shared accounts and multiple IP addresses, leading to difficulties in commercial exploitation and fraudulent prevention.
Innovation Solution
A four-computer, three-software system employing iterative techniques and software tags from three separate hardware elements to triangulate user identity based on behavior and medical identification numbers, providing a graphical interface for analyzing visitor interest in medical goods and services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional identification methods (IP address, cookie, user ID) are used to identify website users, then the identification process is simple, but the accuracy of user identity identification deteriorates due to shared accounts and multiple IP addresses
Solution Approach 1:
The patent segments the identification process into multiple independent components: hardware unit identification, software application verification, behavioral pattern analysis, and cross-device correlation. Each component handles a specific aspect of identification, improving overall accuracy while maintaining modular complexity management
Solution Approach 2:
The patent introduces intermediary elements including hardware units (mobile devices, computers), software applications acting as mediators between users and websites, and centralized databases that correlate information across multiple sources. These intermediaries enable accurate identification without requiring direct trust between user and website
2Object-affected harmful factors
If multiple accounts are registered to protect user privacy, then user privacy is improved, but the ability to accurately identify users for commercial exploitation and fraud prevention deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where user behavior patterns, device characteristics, and cross-site activity are continuously monitored and fed back to refine identification accuracy. This allows the system to maintain privacy while improving identification precision through learned patterns rather than direct identification
Solution Approach 2:
The patent creates a universal identification framework that works across multiple websites and devices simultaneously. The hardware unit and software application combinations serve as universal identifiers that maintain user privacy across different contexts while enabling accurate identification for commercial and security purposes
3Object-affected harmful factors
If electronic permission procedures are implemented to ensure user privacy, then user privacy protection is improved, but the complexity of data collection and consent management increases
Solution Approach 1:
The patent implements preliminary action by obtaining user consent through hardware unit and software application permissions before any data collection occurs. The system secures authorization in advance through operating system-level permissions and application permissions, ensuring privacy compliance is built into the foundation rather than added later
Solution Approach 2:
The patent enables self-service through automated consent management where the system automatically handles permission requests, data collection authorization, and consent tracking without requiring manual intervention. The hardware units and software applications manage their own permission states and data sharing preferences autonomously
Data Source
AI summary
A system of hardware and software for identifying website users, recording said users' internet behavior and displaying said users' internet behavior. More specifically, the present invention discloses a system of combining at least five separate hardware units which identify website users who have visited a specific internet site. Said system records and displays said users' internet behavior related to purchasing goods and services using a graphical interface.