Privacy Score Platform for Digital Footprint Risk Assessment
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Solution Overview
Problem
Individuals face increasing difficulties in determining if their private information is available online or in the possession of third parties, posing personal and financial risks, as existing methods lack effective solutions for privacy monitoring and risk assessment.
Innovation Solution
A privacy platform that collects and analyzes data from various sources to generate a privacy score and report, providing users with insights into their digital footprint, identifying exposed private data, and offering recommendations to improve privacy, using techniques such as structured and unstructured data collection, verification, and periodic updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individuals manually check for private information exposure, then they can identify specific exposed data, but the process is time-consuming and inefficient
Solution Approach 1:
The system automatically monitors and assesses an individual's privacy exposure without requiring manual intervention. The privacy monitoring system self-servicefully collects data from multiple sources, analyzes exposure risks, and generates reports autonomously, eliminating the need for individuals to manually check for exposed information.
Solution Approach 2:
The patent replaces manual mechanical checking processes with automated computer-based systems. Instead of individuals manually searching for exposed information, the system uses automated data collection, analysis algorithms, and processing mechanisms to detect privacy exposures efficiently.
2Measurement precision
If comprehensive data collection from multiple sources is performed, then privacy assessment accuracy is improved, but system complexity increases
Solution Approach 1:
The system divides the complex data collection and analysis process into separate functional modules. Different components handle specific tasks such as data collection from various sources, data verification, risk analysis, and report generation. This segmentation makes the overall complex system more manageable and maintainable.
Solution Approach 2:
The privacy monitoring system is designed as a universal platform that can collect and analyze data from multiple diverse sources (social media, forums, databases, etc.) using a unified approach. The system handles various data types and sources through common processing mechanisms, reducing the need for separate specialized systems for each data source.
3Speed
If real-time privacy monitoring is implemented, then privacy risk response time is improved, but computational resources and updates frequency increase
Solution Approach 1:
The system implements periodic monitoring at strategically determined intervals rather than continuous real-time monitoring. The privacy monitoring system can update its assessment at scheduled times or when triggered by specific events, providing timely privacy risk detection while reducing computational resource consumption compared to constant monitoring.
Data Source
AI summary
Techniques for privacy scoring are disclosed. In some embodiments, privacy scoring includes collecting information associated with an entity; and generating a privacy score based on the private information that was collected that is associated with the entity. In some embodiments, privacy scoring further includes outputting the privacy score. In some embodiments, privacy scoring further includes determining private information that was collected that is associated with the entity.