Mobile Device Security Adjustment via Nearby Device Context
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Solution Overview
Problem
Mobile devices face unique security challenges due to their compactness and mobility, making them vulnerable to theft and loss, and traditional authentication processes are inconvenient and may hamper performance due to memory and power limitations.
Innovation Solution
A method that collects security-related contextual information, such as nearby mobile devices, geographic location, and temporal data, to evaluate a threat level and adjust the security status of the device by invoking a security policy, which can include altering authentication requirements, email address suggestions, document saving locations, and applying security policies to documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication processes require multiple inputs of login ID and password, then security is improved, but user convenience deteriorates
Solution Approach 1:
The authentication requirement dynamically adjusts based on the detected threat level. When the threat level is high, the system imposes stricter authentication requirements; when the threat level is low, the system relaxes authentication requirements to improve user convenience. This dynamic adaptation resolves the contradiction between security and convenience.
Solution Approach 2:
The system changes the authentication parameter (strictness level) based on contextual information such as nearby devices, location, and time. By varying the authentication requirement parameter according to environmental conditions, the system achieves both high security when needed and high convenience when safe.
2Reliability
If security enhancement procedures are strictly enforced, then security is improved, but device performance deteriorates due to limited memory and power
Solution Approach 1:
The security enhancement procedure dynamically adjusts its intensity based on the detected threat level. The system imposes stricter security measures only when necessary (high threat level), and relaxes them when the environment is safe (low threat level), thereby maintaining device performance while ensuring security when needed.
Solution Approach 2:
The system changes the security enhancement parameter based on contextual information. By varying the level of security enhancement according to environmental conditions, the system achieves both high security when needed and high performance when safe, resolving the contradiction between these two parameters.
3Ease of operation
If security measures are relaxed to improve user flexibility, then ease of operation is improved, but security protection deteriorates
Solution Approach 1:
The security measure dynamically adjusts based on the detected threat level. The system relaxes security measures when the threat level is low to improve user flexibility, and tightens security measures when the threat level is high to maintain protection, thus resolving the contradiction between flexibility and protection.
Solution Approach 2:
The system changes the security parameter based on contextual information such as nearby devices and location. By varying the security level parameter according to environmental conditions, the system achieves both user flexibility when safe and security protection when threatened.
Data Source
AI summary
One embodiment of the present invention provides a method for adjusting security status on a mobile device, the method comprising: collecting security-related contextual information which includes information of nearby mobile devices and/or the geographic location of the intelligent mobile device; evaluating a threat level based on the collected security-related contextual information; invoking a security policy; and adjusting the security status of the mobile device based on the threat level and the security policy.