Context-Based User Trust Score via Decentralized Identity
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Solution Overview
Problem
Current systems lack a reliable method to provide consumers with premium services based on a verifiable level of trust without invading their privacy or storing sensitive personal identifiable information.
Innovation Solution
A system and method for creating a user trust score based on information stored in a self-sovereign identity storage location, using decentralized identifiers and verifiable credentials, which allows users to access premium services without permanent storage of personal data by service providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If service providers collect and store consumer data to assess trustworthiness, then they can provide premium services based on verified trust levels, but consumer privacy is invaded and sensitive personal identifiable information is stored
Solution Approach 1:
The patent extracts only the essential trustworthiness metrics from consumer data while leaving out sensitive personal identifiable information. The system calculates trust scores based on aggregated behavioral patterns without storing or processing individual identifying data, thus providing reliable trust verification while protecting consumer privacy.
Solution Approach 2:
The patent introduces an intermediary trust score system that mediates between consumer behavior data and service provider trust assessment. Instead of directly storing and accessing consumer personal data, the system uses a computed trust score as an intermediary representation that captures trustworthiness without exposing sensitive information.
2Reliability
If service providers store consumer data for trust assessment, then they can verify consumer behavior patterns, but sensitive personal identifiable information is housed by the provider
Solution Approach 1:
The patent extracts only the necessary behavioral pattern information needed for trust assessment while discarding unnecessary sensitive personal identifiable information. The system processes data to extract trust-relevant features without retaining the original personal data, thus verifying behavior patterns while minimizing data storage.
Solution Approach 2:
The patent applies different data retention policies to different types of information. Sensitive personal identifiable information is not stored, while only aggregated, anonymized behavioral metrics are retained locally. This local quality approach ensures behavior verification capability while minimizing the quantity of personal data housed by providers.
Data Source
AI summary
A system and method for generating a context-based user trust score is disclosed. A user requests, via a user application running on a personal device, access to a premium service. The premium service is related to a particular market segment. The user then grants, via the user application running on the personal device, access to a subset of personally identifiable information stored on a decentralized web node of a user. The subset of personally identifiable information is related to the particular market segment. A trust score application programming interface running on a processor accesses the subset of personally identifiable information on the decentralized web node of the user and calculates a context-based user trust score based thereon. The trust score application programming interface running on the processor then provides the calculated context-based user trust score, which is preferably a verifiable credential, to the decentralized web node of the user.