Behavior-Based Authentication for Electronic Device Lock Control
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Solution Overview
Problem
Existing authentication systems for electronic devices face challenges in achieving high security, user-friendliness, accuracy, and reducing personal information exposure.
Innovation Solution
An authentication system for electronic devices that includes an authentication means, data acquisition means, and data retention means, utilizing various data types such as attitude and positional information, and employing machine learning for anomaly detection to authenticate users and manage data retention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (passwords, fingerprints) are used, then ease of operation is maintained, but security level is insufficient
Solution Approach 1:
The system performs background authentication automatically without requiring user action. Sensors continuously monitor usage patterns, device attitude, and operational behavior to authenticate the user in the background, eliminating the need for manual authentication steps while maintaining high security
Solution Approach 2:
The system continuously collects feedback from sensors about device usage patterns and compares them against registered patterns. This real-time feedback loop enables dynamic authentication decisions, adjusting security based on whether the current usage matches the registered user's typical behavior
2Measurement precision
If multiple authentication parameters are collected and stored, then authentication accuracy is improved, but risk of personal information exposure increases
Solution Approach 1:
The system performs background authentication before the user completes sensitive operations. By authenticating in advance based on usage patterns, the system prevents unauthorized access to personal information without needing to store sensitive authentication data
Solution Approach 2:
The system extracts authentication information from operational behavior patterns rather than storing traditional authentication data. By deriving identity from how the user operates the device rather than what they input, the system reduces personal information exposure while maintaining accuracy
Data Source
AI summary
An authentication system for an electronic device with a high security level is provided. The authentication system includes a data retention means that accumulates first data related to a state of the electronic device being used by a first user registered in advance and generates a first data group, a first authentication means that authenticates a second user operating the electronic device as the first user and releases a locked state, a data acquisition means that acquires second data related to a state of the electronic device being used by the second user in a state where the locked state is released, and a second authentication means that authenticates the second user as the first user on the basis of the first data group and the second data and sets the electronic device to the locked state when the second user is not authenticated. The data retention means has a function of deleting the oldest first data of the plurality of pieces of the first data included in the first data group.