Dynamic Trust Score for Online Identity Verification
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Solution Overview
Problem
The challenge of verifying user identity on the internet is complex and often ineffective, leading to issues like impersonation and identity theft, which concerns parents and other stakeholders, particularly in contexts like children's online safety and employment screening.
Innovation Solution
A dynamic trust score system that evaluates ongoing online relationships by consolidating user data from various sources, including behavioral patterns, biometric data, and external networks, to provide a measurable and continuously updated assessment of user authenticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security measures such as CAPTCHA and two-step verification are used to verify user identity, then identity verification capability is improved, but user convenience deteriorates and system complexity increases
Solution Approach 1:
The system automatically collects behavioral data, biometric information, and relationship patterns without requiring user intervention. The trust score is calculated and updated automatically based on observed user behavior, eliminating the need for manual verification steps like CAPTCHA or two-step verification while maintaining security.
Solution Approach 2:
The patent replaces mechanical verification systems (CAPTCHA, two-step verification) with an automated computational system that calculates trust scores based on behavioral analysis, biometric data, and relationship patterns. This substitution eliminates the need for users to interact with security challenges while maintaining verification capability.
2Reliability
If conventional security measures such as CAPTCHA and two-step verification are used to verify user identity, then identity verification capability is improved, but system complexity increases
Solution Approach 1:
The system merges multiple data sources (behavioral patterns, biometric data, relationship information) into a single integrated trust score calculation. This consolidation reduces system complexity by providing a unified verification mechanism rather than multiple separate security systems working in parallel.
Solution Approach 2:
The trust score system serves multiple functions simultaneously: it verifies user identity, assesses relationship authenticity, detects fraud, and provides a continuous security rating. This multi-functionality reduces the need for separate verification systems for different purposes, thereby reducing overall system complexity.
3Object-affected harmful factors
If anonymity is allowed on the Internet to protect user privacy, then user privacy is improved, but trustworthiness and accountability deteriorate
Solution Approach 1:
The trust score acts as an intermediary that bridges anonymity and accountability. Users can remain anonymous while the system continuously assesses their trustworthiness based on behavioral patterns and relationship data. The trust score provides a mechanism for accountability without requiring disclosure of personal identifying information.
Data Source
AI summary
A method is provided for a dynamic trust score for evaluating ongoing online relationships. By considering a plurality of user data variables and using validation data from internal and external database sources, a trust score with a high degree of confidence may be provided for establishing and verifying online relationships. Since the trust score may be dynamically recalculated periodically or on demand, the trust score may also validate over continuing periods of time, as opposed to conventional verification systems that only validate at a single point in time. Thus, a higher degree of safety, reliability, and control is provided for online services directed towards children or other user classes that may require greater protection.