Context-Based Data Protection System for Automatic Response
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Solution Overview
Problem
Conventional device data protection methods, such as user authentication and encryption, are not foolproof and do not effectively protect sensitive data from unauthorized access, especially in situations where the device is stolen or compromised without the user's consent, and there is a need for automatic and discrete data protection mechanisms.
Innovation Solution
A context-based data protection system that uses contextual triggers like location and biometric conditions to automatically execute predefined actions, such as soft or hard deletes, to protect data from unauthorized access, even when the user is under duress or unable to intervene.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional data protection methods (user authentication, encryption) are used, then data security is improved, but the system becomes vulnerable when the device is stolen or compromised without user consent
Solution Approach 1:
The system performs preliminary actions by monitoring contextual triggers (location, biometric conditions) and automatically executing data protection responses before unauthorized access can occur. The contextual trigger monitor continuously detects conditions and the data protection enactor preemptively deletes or protects data when risky contexts are identified, eliminating the need for user intervention at the critical moment.
Solution Approach 2:
The system enables self-service by autonomously monitoring contextual triggers and executing data protection responses without requiring user authentication or intervention. The contextual trigger monitor and data protection enactor work together to automatically detect risky situations and implement protection measures, making the system independent of user action while enhancing security reliability.
2Speed
If automatic data protection mechanisms are implemented, then response time is improved, but device complexity increases
Solution Approach 1:
The system segments the data protection function into two independent modules: a contextual trigger monitor that detects conditions and a data protection enactor that executes responses. This segmentation allows each module to operate independently and efficiently, reducing overall system complexity while enabling rapid automated response when contextual triggers are detected.
Data Source
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AI summary
Methods,systems,and computer program products are provided for protecting stored data. A user interface module enables a data sensitivity level,a data protection response,and a contextual trigger to be associated with data stored in a computing device. The user interface is configured to enable the data protection response to be selected from a plurality of data protection responses that includes a soft delete and a hard delete.A contextual trigger monitor is configured to monitor for an occurrence of the contextual trigger.A data protection enactor is configured to enact the data protection response associated with the data when an occurrence of the contextual trigger is detected.