Dynamic Identity Verification via Verifier Pool Consensus
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Solution Overview
Problem
Existing user identification techniques rely heavily on the trustworthiness of Certificate Authorities (CAs), which may not adequately ensure the security and reliability of identity verification, particularly in scenarios where improper identification can go unpunished.
Innovation Solution
Implementing a method where an identity management server uses dynamic identification policies to evaluate user identities through a verifier pool, incorporating authentication consensus constraints and verification fee constraints based on potential exposure, and employing proof of stake mechanisms to secure identity validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional Certificate Authority (CA) based identification is used, then the system is simple to operate, but the reliability and security of identity verification is insufficient
Solution Approach 1:
The verification system is segmented into multiple independent verifier devices distributed across a network, each capable of independently evaluating user identities. This distributes the verification burden and improves reliability through redundancy, while each individual verifier remains relatively simple in structure.
Solution Approach 2:
The system implements feedback mechanisms where verifier devices provide validation results back to the identity management server, and penalties are imposed on verifiers with poor performance. This feedback loop continuously improves verification quality and reliability over time.
2Reliability
If multiple verifier devices are deployed to improve verification reliability, then the security and reliability of identity verification is enhanced, but the device complexity and operational complexity increase
Solution Approach 1:
The verifier devices are designed with universal functionality to handle multiple types of identity verification requests across different service providers. Each verifier can evaluate various identity attributes using the same core mechanisms, simplifying operation despite the distributed architecture.
Solution Approach 2:
The identity management server acts as an intermediary that coordinates between user devices and multiple verifier devices. It manages the verifier pool, selects appropriate verifiers, and aggregates results, shielding users from the complexity of interacting with multiple verifiers directly.
3Measurement precision
If dynamic identification policies with authentication consensus constraints are implemented, then the precision and security of identity evaluation is improved, but the complexity of the verification process increases
Solution Approach 1:
The identification policies are dynamic rather than static, allowing the identity management server to adjust verification requirements based on risk assessment, user history, and contextual factors. This enables precise evaluation while adapting complexity to actual needs rather than applying maximum complexity universally.
Solution Approach 2:
The system changes key parameters of the verification process based on identified risk levels, such as adjusting the number of required consensus verifiers, the strictness of authentication constraints, or the types of verification performed. This allows high precision when needed while reducing complexity for low-risk scenarios.
Data Source
AI summary
Techniques are provided for user identity verification using dynamic identification policies. One method comprises obtaining, by an identity management server, a validation request to evaluate an identity of a user, wherein the validation request is processed by the identity management server in connection with an access request of the user to access a protected resource provided by a service provider that is distinct from the identity management server. The validation request may comprise an identification policy, generated by the service provider in response to receiving the access request, that specifies authentication consensus constraints that apply to the access request. The identity management server can provide an authentication request to verifier devices in a verifier pool, using the authentication consensus constraints, to evaluate the identity of the user; and can provide an identity validation result based on the evaluation of the identity of the user by the verifier devices using the authentication consensus constraints.