Mobile App Security Escalation During Offline Periods
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Solution Overview
Problem
Mobile devices face security risks due to the accumulation of personal information, as existing security measures are inadequate in automatically escalating security during periods of user inactivity or offline events, such as flights or meetings, leaving data vulnerable to misappropriation.
Innovation Solution
A passive security escalation system that identifies offline periods through data extraction from social media and transaction data, generating rules to increase security before, during, and after these periods, including shutdown of applications and requiring additional authentication, to prevent unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If passive security escalation is implemented to automatically shut down applications during offline periods, then data security is improved, but device functionality and user convenience deteriorate
Solution Approach 1:
The system performs preliminary actions by identifying future offline periods in advance using social media data, transaction data, and calendar information. Security escalations are pre-configured and automatically triggered before the offline period begins, ensuring data is protected during vulnerable times without requiring real-time user intervention. This resolves the contradiction by preparing security measures beforehand while maintaining normal device operation during active periods.
Solution Approach 2:
The security system dynamically adjusts its behavior based on the device's operational state. During online periods, applications function normally with standard security. When an offline period is detected, the system automatically escalates security by shutting down specific applications or requiring additional authentication. This dynamic adaptation allows the system to maintain both data security during offline periods and full functionality during online periods, resolving the contradiction between reliability and ease of operation.
2Reliability
If security escalation requires additional authentication, then access control is improved, but user convenience and operation speed worsen
Solution Approach 1:
The system pre-identifies offline periods using multiple data sources including social media check-ins, transaction records, and calendar events. By determining when the device will be offline before that time occurs, the system can proactively implement security measures without requiring users to manually trigger authentication. This preliminary detection and automatic triggering eliminates the time loss that would occur if users had to manually initiate security protocols.
Solution Approach 2:
The security system operates autonomously by automatically detecting offline periods, determining which applications require protection, and implementing appropriate security escalations without user intervention. The system monitors device usage patterns and external data sources to self-determine when security measures should be applied, eliminating the need for users to spend time configuring or triggering security protocols manually.
3Reliability
If applications are shut down during offline periods, then data protection is improved, but application availability and productivity worsen
Solution Approach 1:
The system applies security measures locally and selectively rather than globally. Instead of shutting down all applications during offline periods, the system identifies and protects only specific applications that contain sensitive data or pose higher security risks. This selective approach maintains data protection for critical applications while leaving other applications available for normal use, thus resolving the contradiction between data protection and application availability.
Solution Approach 2:
The system dynamically determines which applications require shutdown based on real-time analysis of device usage patterns, data sensitivity, and the specific offline context. During offline periods, only necessary applications are restricted while others remain functional. This dynamic selection ensures data protection is applied where needed without unnecessarily reducing overall application availability and productivity.
Data Source
AI summary
Embodiments of the invention are directed to a system, method, or computer program product for a passive based security escalation to shut off of applications on a mobile device based on rules. As such, the system may identify, via extraction of data, time periods correlating to events that the user may be offline or inactive with respect to his/her mobile device. Once the time periods are identified, rules are created for the level of security escalation required based on the event. Subsequently, a trigger is identified at a time leading up to the event, where the system integrates with the mobile device and requires additional authentication to access one or more applications. Once the offline event starts, the system initiates a shutdown of the functions of one or more applications on the user's mobile device. The system then reinstates the application functionality after the offline event has ended.