Continuous Identity Data Authentication From Aggregated Sensor Inputs
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Solution Overview
Problem
Existing computing devices face security challenges due to theft and ineffective biometric security measures, which can be circumvented by unauthorized users, and there is a need for improved security technology to authenticate users seamlessly and securely.
Innovation Solution
Computing devices utilize a combination of active and passive user inputs, such as biometric data from sweat, saliva, and movement patterns, to continuously authenticate users, enabling secure communication and data access without transferring authentication data, and recommend items based on user behavior patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If biometric security measures are implemented, then user authentication capability is improved, but security reliability deteriorates because biometric data can be copied and used by unauthorized users
Solution Approach 1:
The patent introduces an intermediary authentication mechanism that verifies device usage patterns and user behavior rather than directly relying on biometric data. This mediator layer checks contextual information such as movement patterns, device handling characteristics, and usage timing to validate authentication, thereby preventing unauthorized use even if biometric data is compromised
Solution Approach 2:
The system continuously monitors and analyzes user behavior patterns, device movement characteristics, and usage contexts to provide ongoing feedback on authentication validity. This feedback mechanism dynamically adjusts security responses based on real-time analysis of whether the current user behavior matches established patterns, enabling the system to detect and prevent unauthorized access attempts
2Reliability
If active biometric authentication steps are required, then security verification is improved, but ease of operation deteriorates due to inconvenience
Solution Approach 1:
The system performs automatic authentication by continuously analyzing device movement patterns, usage behaviors, and contextual information without requiring active user participation. The authentication process serves itself by gathering necessary data from sensors and analyzing patterns autonomously, eliminating the need for users to manually provide biometric data while maintaining security verification
Solution Approach 2:
The authentication system operates continuously in the background, constantly analyzing user behavior patterns and device usage contexts rather than requiring discrete authentication actions. This continuous monitoring enables seamless verification that occurs automatically as part of normal device operation, eliminating interruptions and maintaining both security and convenience
3Ease of operation
If computing devices are made portable and transferable, then ease of operation is improved, but security risk increases due to theft and unauthorized access
Solution Approach 1:
The security system dynamically adapts to the portable nature of computing devices by continuously analyzing real-time movement patterns, location data, and usage contexts. Rather than relying on static security measures, the system adjusts its authentication requirements and security responses based on dynamic behavioral analysis, enabling secure operation during legitimate portability while detecting anomalies that may indicate theft or unauthorized access
Data Source
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AI summary
A computing device, a system, and a method are provided to receive a number of inputs associated with one or more sensors of the computing device. One or more processors are configured to determine input data based on the number of inputs and authenticate a user account based on the input data. A communication interface is enabled to communicate with one or more devices based on the authentication. Further, the system may aggregate the input data based on the number of inputs. The system may determine identity data of the user account based on the aggregation. The system may transmit an indication of the identity data to the computing device.