Privacy Exposure Index Calculation for Online Service Risk Assessment
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Solution Overview
Problem
Users are unable to comprehensively assess their privacy exposure risk when interacting with online services, as privacy policies are often written in technical language that users do not understand, and there is no available solution that provides a privacy exposure depth and index score for a given digital entity.
Innovation Solution
A method that involves receiving privacy information about an entity from a privacy resource, parsing this information into user attributes, calculating a privacy exposure index based on these attributes, and transmitting this index to provide users with a clear understanding of their privacy exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If privacy policies are written in technical language to be comprehensive, then the completeness of privacy information is improved, but the understandability for users deteriorates
Solution Approach 1:
The patent segments comprehensive privacy information into distinct categories (information collected, how it's used, who it's shared with, security measures). Each category is presented separately with clear headings and bullet points, making the complex privacy policy digestible while maintaining completeness of information.
Solution Approach 2:
The patent introduces an intermediary processing layer that translates technical legal language into plain English explanations. This intermediary system parses the original privacy policy, extracts key information, and reformulates it in user-friendly language while preserving the complete meaning and scope of the original document.
2Measurement precision
If detailed privacy information is collected to assess privacy exposure accurately, then the measurement precision of privacy risk is improved, but the complexity of the assessment system deteriorates
Solution Approach 1:
The assessment system is segmented into distinct functional modules: information collection module, parsing module, attribute extraction module, indexing module, and reporting module. Each module handles a specific aspect of the assessment process, reducing overall system complexity while enabling detailed and accurate privacy exposure measurement through coordinated operation of these specialized components.
Solution Approach 2:
The patent transforms detailed privacy information from multiple dimensions (types of data collected, purposes of use, third-party sharing, security measures) into a unified privacy exposure index score. This dimensional transformation consolidates complex multi-faceted privacy information into a single comprehensible metric that maintains measurement precision across all dimensions.
Data Source
AI summary
A method includes receiving privacy information about an entity from a privacy resource; parsing the privacy information into a plurality of attributes of a user; calculating a privacy exposure index, at least in part based on each of the plurality of attributes; and transmitting the privacy exposure index.