Event Characteristic Analysis for Multi-Modal Authentication
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Solution Overview
Problem
Conventional authentication systems are susceptible to failure due to their inability to validate the source of user inputs, leading to potential unauthorized access through spoofing or other means.
Innovation Solution
The system analyzes event characteristics captured via multiple modalities to determine a level of congruence, validating the authenticity of user inputs by correlating physical, environmental, and contextual factors associated with the input event.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional key-lock authentication is used, then the system is simple to operate, but the security reliability is insufficient due to susceptibility to spoofing
Solution Approach 1:
The patent transitions from single-modality authentication (one dimension) to multi-modality authentication (multiple dimensions). It captures event characteristics across different modalities including audio characteristics, visual characteristics, sensor characteristics, and contextual characteristics, thereby adding dimensional depth to the authentication process to prevent spoofing attacks
2Reliability
If multi-factor authentication is implemented, then the security reliability improves, but the ease of operation deteriorates due to multiple verification steps
Solution Approach 1:
The patent merges multiple authentication factors into a unified event characteristic analysis framework. Instead of requiring separate verification steps for each factor, it simultaneously captures and analyzes characteristics from audio, visual, sensor, and contextual modalities as an integrated authentication process, reducing operational complexity while maintaining security
3Reliability
If trust is placed in a single input source, then the ease of operation is maintained, but the reliability deteriorates due to inability to detect spoofed inputs
Solution Approach 1:
The patent introduces an intermediary event characteristic analysis layer between the input source and the authentication decision. This intermediary captures and analyzes characteristics from multiple modalities (audio, visual, sensor, contextual) to validate the authenticity of the input, acting as a mediator that prevents spoofed inputs from reaching the authentication system
Data Source
AI summary
Determining a level of congruence between modality-event characteristics is disclosed. Information can be collected from an event input source via one or more information collection modalities. Modality-event characteristics can be determined from this information. A level of congruence between the modality-event characteristics can be determined to enable initiating a response based on the level of congruence. The level of congruence can be based on satisfying a rule related to congruence between modality-event characteristics, user profile information, etc. The level of congruence can be related to a probability that the several inputs collected for an event, collected by a plurality of modalities, embody characteristics that are associated with the event occurring according to determined notions embodied in the rule and profile. Determining the level of congruence can support assertions that each input, across differing modes of capturing said input, accords with the expected inputs for an event.