Authority Management System for Smart Devices
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Solution Overview
Problem
The existing authority management systems in smart devices are inflexible and require manual user intervention for updating authority settings, leading to unreasonable and inconvenient application usage.
Innovation Solution
A method that acquires and processes user authority use data to automatically update authority settings by calculating confidence values and adjusting initial choices based on threshold values, using techniques like SVM training and cluster analysis, ensuring privacy and aligning with user habits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual authority setting is used, then user privacy is protected, but authority settings are not reasonable and inconvenient to use
Solution Approach 1:
The system automatically updates authority settings by analyzing user behavior data without requiring manual user input. The authority management module autonomously processes user operation records, identifies usage patterns, and adjusts authority configurations automatically, enabling the system to serve itself rather than requiring continuous user intervention.
Solution Approach 2:
The system collects user behavior feedback through authority use data and operation records, processes this feedback through analysis modules, and uses the results to automatically adjust authority settings. This closed-loop feedback mechanism allows the system to continuously optimize authority configurations based on actual user needs while maintaining privacy protection.
2Adaptability or versatility
If predefined authority management is used, then system security is maintained, but flexibility and adaptability are reduced
Solution Approach 1:
The authority management system transitions from static predefined settings to dynamic adaptive configuration. The system continuously monitors user behavior, analyzes operation patterns, and automatically adjusts authority settings in real-time based on actual usage scenarios, making the authority management flexible and adaptable while maintaining security through systematic analysis.
Solution Approach 2:
The system changes authority parameters dynamically based on analyzed user behavior data. By processing authority use data and operation records, the system identifies patterns and automatically adjusts authority configuration parameters to match actual user needs, enabling flexible adaptation without compromising security through arbitrary changes.
3Productivity
If manual authority updates are required, then precise control is achieved, but user time and operational complexity increase
Solution Approach 1:
The system performs preliminary analysis of user behavior data and operation patterns before authority updates are needed. By continuously collecting and analyzing authority use data in the background, the system prepares optimization recommendations in advance, enabling automatic updates without requiring user time or manual intervention, thus improving productivity while managing complexity through automated preprocessing.
Data Source
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AI summary
The present disclosure relates to a method, a device and a system for managing an authority. The method includes: acquiring (S11) authority use data of a user from a server; processing the authority use data to obtain an authority result; sending (S12) the authority result obtained by the processing to a terminal, and receiving (S13) the authority result sent from the server by a client; acquiring configuration information of a corresponding authority according to the authority result; and updating a corresponding authority option according to the configuration information corresponding to the current authority.