Dynamic Privacy Policy Management for Input Output Devices
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Solution Overview
Problem
Current information handling systems face challenges in dynamically managing privacy settings for input and output devices, leading to limitations in productivity and collaboration due to rigid privacy policies that require manual adjustments and continuous monitoring.
Innovation Solution
A computer-implemented method that uses a privacy manager service on an embedded controller to assert and dynamically manage privacy policies for input and output devices based on user device and application parameters, allowing for overrides and automatic adjustments in response to changes in device and application conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If rigid privacy policies are implemented for input and output devices, then security and privacy protection are improved, but productivity and collaboration are worsened due to manual adjustments being required
Solution Approach 1:
The patent implements dynamic privacy policies that automatically adjust based on real-time detection of usage scenarios. The system transitions from static, rigid privacy rules to dynamic policies that adapt to changing conditions, allowing seamless switching between privacy protection modes and collaboration modes without manual intervention, thus resolving the contradiction between security and productivity
Solution Approach 2:
The system performs self-service by automatically detecting usage scenarios and applying appropriate privacy policies without requiring user intervention. The privacy manager service monitors device state, identifies scenarios, and autonomously adjusts privacy settings, eliminating the need for manual adjustments while maintaining both security and collaboration efficiency
2Measurement precision
If manual adjustments to privacy settings are required, then privacy control precision is improved, but time consumption increases due to continuous monitoring and adjustment needs
Solution Approach 1:
The privacy manager service performs self-service by continuously monitoring device state and automatically applying privacy policies based on detected scenarios. This eliminates the need for manual adjustments while maintaining precise privacy control, as the system autonomously determines when and how to apply privacy restrictions based on real-time conditions
Solution Approach 2:
The system implements feedback mechanisms where the privacy manager service continuously monitors device usage patterns and scenario changes, then adjusts privacy policies accordingly. This closed-loop feedback system ensures precise privacy control while eliminating manual intervention time, as the system self-adjusts based on real-time feedback from device state changes
3Adaptability or versatility
If continuous monitoring of device parameters is implemented, then adaptability to changing conditions is improved, but system complexity increases
Solution Approach 1:
The patent segments the privacy management system into distinct functional components: a privacy manager service that monitors parameters, a scenario detection module that identifies usage patterns, and a policy application module that enforces privacy rules. This segmentation reduces overall system complexity by dividing the monitoring and response function into manageable, independent components that work together seamlessly
Data Source
AI summary
Managing privacy controls in an information handling system to allow Information Technology Decision Makers (ITDMs) to prevent unwanted disclosure of information while allowing users to work together. A first privacy policy is asserted to protect information. When a user device requests an override to access an I/O device, embodiments analyze device parameters and application parameters to determine whether to authorize the use of the I/O device. If the override request is authorized, the user is able to access the I/O device and a new privacy policy is asserted. If a device parameter changes, embodiments may assess whether the change could result in unwanted disclosure of information and dynamically change the privacy policy to prevent the disclosure.