Privacy Policy Scoring Through Semantic Risk Analysis
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Solution Overview
Problem
Existing systems lack an efficient method to score and provide feedback on the quality of privacy policies for websites and applications, making it difficult for users to assess and manage their privacy risks.
Innovation Solution
A privacy policy analysis system (PPAS) that determines a privacy policy score by analyzing the text of privacy policies using semantic analysis, comparing terms to pre-scored text, and considering user preferences, which is then provided to devices for user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually review privacy policies, then they can assess privacy risks, but it requires significant time and effort
Solution Approach 1:
The patent replaces manual mechanical review of privacy policies with an automated computer-based system that uses natural language processing and machine learning algorithms to analyze privacy policy text, generate risk scores, and provide assessments without requiring user manual review
Solution Approach 2:
The system enables self-service by automatically analyzing privacy policies and generating risk assessments without requiring user intervention or manual review, allowing the system to serve itself in evaluating privacy practices
2Loss of information
If companies provide detailed privacy policy information, then users can make informed decisions, but the complexity and length of policies increases
Solution Approach 1:
The patent segments the privacy policy analysis into distinct components including data collection identification, data sharing analysis, security assessment, and risk scoring, breaking down the complex policy text into manageable segments that are systematically evaluated and presented separately
Solution Approach 2:
The system transforms the qualitative complexity of privacy policy text into quantitative parameters including risk scores, data type classifications, and priority levels, converting unreadable text complexity into measurable and comparable numerical assessments
3Productivity
If automated systems analyze privacy policies, then assessment speed increases, but the accuracy and nuance of evaluation decreases
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously refines its analysis by comparing automated assessments against known privacy best practices, updating its models based on new data, and providing explanations for risk scores that can be reviewed and corrected
Solution Approach 2:
The system uses composite evaluation approaches that combine multiple analysis techniques including natural language processing, machine learning models, rule-based checking, and contextual analysis to create a comprehensive assessment that leverages the strengths of each method
Data Source
AI summary
A system includes a processor and a memory accessible to the processor. The memory stores instructions that, when executed by the processor, cause the processor to determine a privacy policy score for one of an application and a website and provide the privacy policy score to a device.