Context-Based Security Policy Adjustment for Mobile Devices
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Solution Overview
Problem
Users face challenges in managing security and privacy policies on mobile devices, which can be complex and labor-intensive, often leading to inappropriate security settings due to user misunderstanding or inconvenience, such as unnecessary device locking and cumbersome content sharing processes.
Innovation Solution
A system that determines a safety score based on contextual factors, allowing for automatic adjustment and selection of security policies, including device locking mechanisms and content sharing settings, to enhance user experience while maintaining security by differentiating between trusted and untrusted environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually manage security and privacy policies, then security control is maintained, but user effort and complexity increase significantly
Solution Approach 1:
The system enables security policies to self-adjust based on contextual factors. The device automatically determines safety scores and selects appropriate security policies without user intervention, allowing the system to serve itself in managing security configurations based on real-time context assessment.
Solution Approach 2:
The security policy management system transitions from static manual configuration to dynamic automatic adjustment. The safety score and selected security policy change dynamically based on contextual factors such as location, time, and device state, enabling the system to adapt security levels automatically according to current conditions.
2Reliability
If strict security policies are applied, then security level is maintained, but user convenience and usability deteriorate
Solution Approach 1:
The system applies different security policies to different contextual situations rather than using a uniform strict security approach. Based on the determined safety score from contextual factors, the system selects appropriate security policies that match the specific situation, providing strict security when needed and relaxed security when safe.
Solution Approach 2:
The system changes security parameters dynamically based on the safety score. The safety score itself is a parameter that reflects contextual safety assessment, and the selected security policy parameters (such as locking requirements, content sharing restrictions) are adjusted according to this score, allowing flexibility in maintaining security while improving convenience.
3Extent of automation
If context-based automatic security adjustment is implemented, then user effort is reduced, but system complexity increases
Solution Approach 1:
The system segments the security policy management process into distinct functional modules: context factor determination, safety score calculation, and security policy selection. This segmentation allows each module to handle specific tasks independently, making the overall automated system more manageable and less complex despite the increased automation level.
Data Source
AI summary
An approach is provided for selecting a security policy. A security policy manager determines one or more factors for adjusting a safety score associated with a device. The safety score is based, at least in part, on a context associated with the device. The security policy manager then processes and/or facilitates a processing of the one or more factors and the safety score to calculate an adjusted safety score, and determines to select a security policy based, at least in part, on the adjusted safety score.