Identity Verification via Timing Metadata and Blockchain
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Solution Overview
Problem
Current identity verification systems, such as biometric-based systems, are vulnerable to identity theft as they do not effectively differentiate between the legitimate and imposter identities, allowing thieves to access assets and pose risks in social and dating contexts.
Innovation Solution
A system that uses a non-transitory program storage medium to perform identity verification operations, including receiving identifying information, metadata, and biometric data, calculating a hash, and storing it on a blockchain to generate an embeddable digital badge based on a score derived from the data, which is used to verify identity and prevent fraudulent registrations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biometric-based identification systems are implemented to verify identity, then identity verification capability is improved, but vulnerability to identity theft increases because the system cannot differentiate between legitimate and imposter identities
Solution Approach 1:
The system performs preliminary actions by collecting timing metadata during the registration process before biometric verification occurs. This metadata captures the temporal patterns of user interactions, which serves as an additional layer of verification that prevents imposters from successfully registering even if they have stolen identifying information. The timing data is collected and stored alongside other registration data to create a comprehensive verification profile.
2Ease of operation
If traditional identification documents are used for registration, then ease of operation is improved, but security against identity theft deteriorates as imposters can easily pose as legitimate persons
Solution Approach 1:
The system introduces timing metadata as an intermediary verification element that bridges traditional identification documents and biometric verification. This intermediary layer captures the temporal characteristics of user interactions with the registration system, creating a unique behavioral fingerprint that is difficult for imposters to replicate. The timing metadata acts as a mediator that enhances security without significantly complicating the registration process for legitimate users.
3Productivity
If biometric data is collected during registration without additional verification, then registration speed is improved, but the risk of fraudulent registration increases
Solution Approach 1:
The system replaces traditional mechanical verification methods with a digital timing analysis mechanism. Instead of relying solely on physical biometric collection, the system substitutes in a digital capture of temporal interaction patterns. This substitution allows for automated analysis of user behavior timing, which can be processed computationally to detect fraudulent patterns without significantly slowing down the registration process for legitimate users.
Data Source
AI summary
A method for verifying a person's identity includes receiving a registration request from an electronic device, the request including identifying information associated with a presumed identity of a person and captured metadata indicative of a timing of user inputs entered to the electronic device by the person during a session associated with the request, querying one or more trusted databases to obtain background data item(s) associated with the presumed identity, receiving, from a biometric reader, biometric data item(s) captured from the person during the session, storing a data record associating the identifying information, captured metadata, background data item(s), and biometric data item(s), calculating a hash as a function of the identifying information, captured metadata, background data item(s), biometric data item(s), storing the hash in a block of a blockchain, deriving a score from the captured metadata and background data item(s), and generating an embeddable digital badge based on the score.