Physiology-Based Suspicion Indicator for Identity Verification
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Solution Overview
Problem
Current identity verification methods in electronic services lack a robust, non-intrusive way to enhance scrutiny, particularly in scenarios where physiological data can indicate suspicion levels, such as in medical or financial transactions.
Innovation Solution
A system that utilizes temporal physiological data from remote storage to generate a physiology-based suspicion indicator, employing a rules engine or trained machine learning model to analyze this data and provide a degree of suspicion, which can trigger additional security measures without exposing sensitive health information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional identity verification methods are used, then the identity check process is simple and quick, but the level of scrutiny is insufficient and security is compromised
Solution Approach 1:
The system performs preliminary actions by collecting and storing physiological data over time before the actual identity verification is needed. This pre-collection of baseline physiological information enables more reliable verification without adding complexity during the critical verification moment, as the analytical framework is already in place
Solution Approach 2:
The system introduces physiological data as an intermediary element between the user and the identity verification process. Rather than directly verifying identity through traditional means, the system uses physiological measurements as a mediator that provides objective, hard-to-falsify evidence of identity authenticity, thereby improving reliability without requiring complex direct verification mechanisms
2Measurement precision
If physiological data is collected and analyzed, then the suspicion detection capability is enhanced, but user privacy and intrusion levels increase
Solution Approach 1:
The system extracts only the essential physiological features needed for suspicion detection rather than collecting and retaining all raw physiological data. By extracting and analyzing only the necessary biometric patterns and temporal variations, the system achieves precise suspicion detection while minimizing privacy intrusion through reduced data retention and exposure
Solution Approach 2:
The system creates and uses copies of physiological data patterns rather than accessing or exposing the original sensitive health information. By working with processed representations and statistical patterns of physiological data rather than the raw data itself, the system maintains detection precision while protecting user privacy through data anonymization and abstraction
3Speed
If real-time physiological monitoring is implemented, then suspicion detection speed is improved, but system complexity and resource consumption increase
Solution Approach 1:
The system performs preliminary processing of physiological data by pre-computing baseline patterns, normalizing data formats, and organizing temporal sequences before they are needed for suspicion detection. This pre-processing enables faster real-time analysis without requiring intensive computational resources during the actual detection moment, as the heavy lifting has already been completed
Solution Approach 2:
The system implements partial real-time monitoring by continuously analyzing only the most critical physiological parameters and temporal patterns that are most indicative of suspicion, rather than processing all physiological data in real-time. This selective approach maintains detection speed for the most relevant indicators while reducing overall system resource consumption by ignoring less relevant data
Data Source
AI summary
Various systems include one or more processors and one or more memory devices storing instructions. The instructions, when executed by the processor(s), cause the system to access temporal physiological data for a person from a storage located remote from the person where the temporal physiological data includes physiological data recorded over time by at least one electronic device of the person, receive a request from a requesting device for a physiology-based suspicion indicator for an identity associated with the person which indicates a degree to which the temporal physiological data of the person reflects a suspicion regarding the identity associated with the person, determine the physiology-based suspicion indicator for the identity based on at least a portion of the temporal physiological data for the person stored remote from the person, and communicate the physiology-based suspicion indicator for the identity associated with the person to the requesting device.