Electronic Device Authentication With Adaptive Behavioral Profiles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing authentication systems for electronic devices lack high security, user-friendliness, accuracy, and risk reduction for personal information exposure.
Innovation Solution
An authentication system incorporating a first and second authentication means, data acquisition means, and data retention means, utilizing biometric and behavioral data to authenticate users, and updating and deleting data based on usage patterns, with anomaly detection and machine learning for enhanced security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional authentication methods (passwords, simple biometrics) are used, then ease of operation is improved, but security level deteriorates
Solution Approach 1:
The authentication system dynamically adjusts authentication parameters based on user behavior patterns. The system learns and adapts to normal usage patterns, making authentication seamless for legitimate users while detecting anomalies for potential threats. This dynamic adaptation resolves the contradiction by providing ease of operation for authenticated users while maintaining high security through continuous behavioral analysis.
Solution Approach 2:
The system implements continuous feedback loops where authentication decisions are based on real-time analysis of user behavior patterns. The system monitors usage patterns, compares them against learned profiles, and adjusts authentication requirements accordingly. This feedback mechanism enables the system to maintain high security while providing seamless authentication for legitimate users, resolving the ease of operation versus security level contradiction.
2Reliability
If multiple authentication parameters are collected and analyzed, then security level is improved, but device complexity deteriorates
Solution Approach 1:
The authentication system segments the analysis into distinct modules: data acquisition from multiple sensors, behavior pattern learning, anomaly detection, and authentication decision-making. Each module handles specific tasks independently, reducing overall system complexity while enabling comprehensive security analysis through coordinated operation of these segmented components.
Solution Approach 2:
The system introduces behavior pattern profiles as intermediary representations that simplify the connection between raw sensor data and authentication decisions. Instead of directly analyzing complex multi-parameter data, the system compares actual behavior against pre-established behavior profiles, reducing computational complexity while maintaining high security through indirect analysis.
3Measurement precision
If user behavior data is continuously accumulated and stored, then authentication accuracy is improved, but loss of information deteriorates due to data retention risks
Solution Approach 1:
The system extracts only the essential behavioral characteristics needed for authentication from the collected data, storing compressed behavior profiles rather than raw usage data. This extraction process retains authentication accuracy by preserving key behavioral patterns while minimizing data retention risks by removing unnecessary personal information that could expose user privacy.
Solution Approach 2:
The system transforms raw behavioral data into abstracted behavior parameters and patterns for storage. By changing the representation from detailed usage data to summarized behavior profiles, the system maintains authentication accuracy through preserved behavioral characteristics while reducing information exposure risks through minimized data retention of sensitive personal information.
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.