Identity Verification via Behavior Analysis and Feasibility Prediction
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Solution Overview
Problem
Existing identity verification methods in various Internet services are independent and require multiple verifications for high-security operations, leading to a decrease in user experience and increased user loss due to complex verification processes.
Innovation Solution
A method and apparatus that analyze user behavior data during a session to determine if an identity verification-free operation can be performed by checking predetermined conditions, using a feasibility prediction model to decide whether to skip identity verification based on identity verification record information, environment information, and user operation behavior sequence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple identity verification operations are performed on a user for high-security operations, then account security is improved, but user experience deteriorates due to complex verification operations
Solution Approach 1:
The system performs self-service by automatically analyzing user behavior data and making verification decisions without requiring user intervention. The feasibility prediction model automatically determines whether to perform identity verification based on analyzed behavior patterns, eliminating the need for users to manually assess risk or choose verification methods.
Solution Approach 2:
The system changes the parameter of verification frequency dynamically based on user behavior analysis. Instead of applying a fixed verification rule, the system adjusts verification requirements according to the calculated feasibility score from the prediction model, allowing high-security operations to proceed with reduced verification when user behavior indicates low risk.
2Reliability
If multiple identity verification operations are performed on a user for high-security operations, then account security is improved, but user stickiness decreases due to complex verification operations
Solution Approach 1:
The system applies dynamics by making the verification process adaptive rather than static. The feasibility prediction model continuously evaluates user behavior data and adjusts verification requirements in real-time, creating a dynamic verification strategy that responds to changing user patterns and risk levels throughout the session.
Solution Approach 2:
The system performs preliminary action by analyzing user behavior data and pre-determining verification needs before the actual high-security operation occurs. The feasibility prediction model evaluates behavior patterns in advance during the session, allowing the system to prepare verification decisions proactively rather than reactively.
3Measurement precision
If identity verification is performed independently in different application scenarios, then verification accuracy is improved, but verification complexity increases leading to user loss
Solution Approach 1:
The system applies universality by creating a unified identity verification apparatus that serves multiple application scenarios through a single integrated system. The feasibility prediction model and behavior analysis mechanisms work across different scenarios (login, payment, withdrawal) using the same core technology, eliminating the need for separate independent verification systems for each scenario.
Solution Approach 2:
The system merges previously independent verification operations into a single unified verification process. By combining behavior data from multiple scenarios and applying the feasibility prediction model centrally, the system consolidates multiple independent verifications into one coordinated process that maintains accuracy while reducing overall complexity.
Data Source
AI summary
This disclosure relates to identity verification. In one aspect, a method includes obtaining verification information during a user application session of a user with an application component subsequent to a verification triggering request to perform identity verification on the user. A determination is made whether the verification information satisfies a first identity verification-free condition. When the verification information satisfies the first identity verification-free condition, an identity verification-free operation that does not include identity verification of the user is performed. When the verification information fails to satisfy the first identity verification-free condition, an identity verification process is performed to verify an identity of the user.