Collaboration Board Content Protection via Privileged Erasure
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Solution Overview
Problem
Collaboration boards often leave sensitive information exposed due to users forgetting to erase content, and existing solutions like architectural changes or periodic erasure are impractical or ineffective in protecting confidential information from unauthorized viewing.
Innovation Solution
A content protecting system (CPS) that detects and analyzes markings on collaboration boards, classifies sensitive content, and automatically erases it when an unauthorized person is detected, using image processing and machine learning to identify privileged content and initiate erasure, while caching the content for secure storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content is left on collaboration board for extended periods, then ease of operation is improved (users can reference content), but security is worsened (sensitive information exposed to unauthorized persons)
Solution Approach 1:
The system performs preliminary classification of content elements as privileged or non-privileged before unauthorized viewing occurs. Detection devices continuously monitor for unauthorized persons, and the system is pre-configured to automatically erase privileged content when such persons are detected, preventing information exposure before it can happen.
Solution Approach 2:
The system implements continuous feedback through detection devices that monitor the collaboration board area for unauthorized persons. When an unauthorized person is detected, the system provides feedback by automatically erasing privileged content. The system also notifies users about the erasure and allows them to review cached content, creating a closed-loop feedback mechanism that balances accessibility and security.
2Reliability
If automatic erasure system is implemented, then security is improved (sensitive information protected), but device complexity is worsened (detection and classification systems added)
Solution Approach 1:
The system segments content elements into privileged and non-privileged categories using classification logic. Different detection devices monitor different aspects (presence, authorization status). The erasure mechanism is segmented to only affect privileged content while leaving non-privileged content intact. This segmentation allows the complex system to manage information protection through modular, manageable components.
Solution Approach 2:
The system introduces an intermediary caching mechanism that stores copies of erased content. This intermediary allows the system to provide security through automatic erasure while maintaining user ability to review content through notifications and cached copies. The intermediary also bridges the gap between the detection system and erasure mechanism, enabling intelligent decision-making about what content to erase.
3Reliability
If privileged content is automatically erased, then security is improved (unauthorized access prevented), but loss of information is worsened (content removed before user can save)
Solution Approach 1:
The system performs preliminary classification of content as privileged or non-privileged before erasure occurs. This allows authorized users to proactively save non-privileged content that doesn't require protection. The system also caches privileged content before erasure, preserving it for potential user review and recovery, thus preventing permanent information loss while maintaining confidentiality.
Solution Approach 2:
The system implements feedback mechanisms including user notifications about impending erasure and provision of cached content copies. Users receive alerts when privileged content is about to be erased due to unauthorized person detection, giving them opportunity to save important information. The cached content remains available for user review and recovery, ensuring no permanent loss of legitimate business information while maintaining security.
Data Source
AI summary
A marking onto a collaboration board, located in a first location, is detected. The marking includes the creation of one or more content elements on the collaboration board. Responsive to detecting the markings one or more content elements on the collaboration board are analyzed. A first content element of the one or more content elements is classified based on analyzing the one or more content elements. The first content element is classified as a first privileged content element. The first location of the collaboration board is scanned. The scanning is based on the classifying of the first privileged content element. An unauthorized person is identified based on scanning the first location. The unauthorized person is not permitted to view the collaboration board. A security response is performed on the collaboration board regarding the one or more content elements. The security response is performed responsive to identifying the unauthorized person.