Automation Server Data Masking for Virtual Assistant Privacy
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Solution Overview
Problem
The increasing use of electronic devices in homes and businesses generates sensitive automation data that poses privacy and safety risks, as it can be accessed by third parties, potentially leading to unauthorized use or disclosure of user information.
Innovation Solution
An automation server generates artificial automation data, including artificial device identifiers, entity names, and state data, which is sent to virtual assistant servers to protect actual automation data, thereby obfuscating sensitive information and reducing the risk of data misuse.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If actual automation data is sent to virtual assistant servers, then the system can provide accurate service, but user privacy and safety are compromised due to third-party access
Solution Approach 1:
The patent introduces an intermediary layer that transforms actual automation data into artificial automation data before transmission to virtual assistant servers. This intermediary process preserves service functionality while blocking direct access to sensitive user information, thereby resolving the contradiction between service accuracy and privacy protection.
Solution Approach 2:
The patent creates artificial copies of automation data that mimic the structure and format of actual data but contain no sensitive information. These copies are sent to virtual assistant servers instead of real data, allowing the system to maintain service accuracy while eliminating privacy risks associated with actual data exposure.
2Object-affected harmful factors
If artificial automation data is generated and sent instead of actual data, then user privacy is protected, but the system complexity increases
Solution Approach 1:
The patent divides the data processing system into distinct segments: actual data collection, artificial data generation, and data transmission. This segmentation isolates the complexity of artificial data generation to a specific module, making the overall system more manageable while achieving privacy protection.
3Object-affected harmful factors
If all automation data is protected with artificial data, then maximum privacy protection is achieved, but useful information for service delivery is lost
Solution Approach 1:
The patent applies different data transformation qualities to different types of automation data. Critical service information is preserved in artificial data representations, while sensitive personal information is obscured. This local differentiation ensures maximum privacy protection for sensitive data while maintaining necessary service information.
Data Source
AI summary
An automation server is described. The automation server includes a processor. The automation server also includes a memory in electronic communication with the processor. The automation server further includes instructions stored in the memory. The instructions are executable to generate artificial automation data to protect actual automation data. The instructions are also executable to send, from the automation server, the artificial automation data to at least one virtual assistant server.