Blacklist Filter for Privacy Control in Electronic Devices
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Solution Overview
Problem
Personal information stored on electronic devices is vulnerable to unauthorized access when shared or transferred, as users often share device screens or connect devices, leading to potential exposure of sensitive data.
Innovation Solution
A system and method utilizing a blacklist database to identify and remove sensitive objects from frames before they are displayed or transferred, ensuring privacy protection by filtering out blacklisted items, which can include words, images, colors, or other content, using a processor and blacklist filter within the electronic device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If screen sharing or device connectivity is enabled, then collaboration and information access are improved, but privacy and security of personal information deteriorate
Solution Approach 1:
The system performs preliminary actions by scanning the frame for blacklisted objects before the frame is displayed or transferred. The processor identifies objects in the frame and checks them against the blacklist database in advance, removing sensitive information before it can be exposed during screen sharing or device connectivity events.
Solution Approach 2:
The system extracts and removes blacklisted objects from the frame before display or transfer. The processor identifies specific objects (text, images, colors) that match the blacklist and extracts them from the frame, creating a modified frame without the sensitive information while preserving the rest of the content.
2Object-affected harmful factors
If a blacklist database is implemented to filter sensitive objects, then privacy protection is improved, but device complexity increases
Solution Approach 1:
The processor performs multiple functions using a single component: it scans frames for blacklisted objects, identifies sensitive information, checks against the blacklist database, and removes matched objects. This multi-functional approach consolidates complexity into one processor rather than requiring separate dedicated components for each function.
Solution Approach 2:
The system creates a modified copy of the frame with blacklisted objects removed, rather than altering the original frame permanently. This copying approach allows the sensitive information to be filtered while preserving the original frame for backup or audit purposes, reducing the complexity of data management.
3Object-affected harmful factors
If objects are scanned and filtered from frames, then privacy control is improved, but processing time increases
Solution Approach 1:
The system applies partial action by scanning only for blacklisted objects rather than analyzing every pixel and detail in the frame. The processor focuses on identifying specific objects that match the blacklist criteria, which speeds up the process compared to complete frame analysis while still providing effective privacy protection.
Data Source
AI summary
An electronic device may include a processor and a blacklist database listing objects not to be displayed. The processor is to remove an object from a frame before the frame is sent to or received from an electronic device when the object is listed in the blacklist database. In an example, an electronic device can include logic to receive, in a processor, a frame to be sent to or received from an electronic device and logic to scan the frame to identify an object. The electronic device can also include logic to determine if the object is listed in a blacklist database. The electronic device further includes logic to modify the frame to remove the object when the object is listed in the blacklist database and logic to transfer the frame for processing.