Sensor Data Aggregation via Intermediary Server for Privacy
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Solution Overview
Problem
Current computing devices generate increasing amounts of sensor data, with much of it going unused, and existing systems discard valuable information without effective utilization or management.
Innovation Solution
A data agent on computing devices periodically transmits sensor data to a historical data store for categorization and correlation with other devices, allowing for further analysis and restricted access to applications based on data acquisition rights, ensuring privacy and efficient data usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor data is collected and stored locally on computing devices, then data availability for applications is improved, but data privacy and security risks increase
Solution Approach 1:
The patent introduces a server as an intermediary between multiple computing devices. The server receives sensor data from devices, processes it to generate aggregated sensor data, and provides it back to devices. This intermediary architecture allows data to be collected and processed externally rather than stored locally, improving availability while reducing privacy risks by keeping sensitive raw data on devices and only sharing processed aggregated results.
2Object-affected harmful factors
If sensor data is transmitted to a remote server, then data privacy is improved, but data access speed and application responsiveness deteriorate
Solution Approach 1:
The system performs preliminary actions by having devices transmit sensor data to the server in advance, where it is processed and stored as aggregated sensor data. This preliminary processing allows applications to quickly access pre-processed aggregated data from the server without waiting for real-time processing, thus improving access speed while maintaining the privacy benefits of remote processing.
3Adaptability or versatility
If all sensor data is made available to applications, then application functionality is improved, but data security and access control requirements increase
Solution Approach 1:
The patent extracts only the necessary aggregated sensor data from the complete sensor data set and makes it available to applications. Instead of providing all raw sensor data to applications, the system processes data to extract relevant aggregated information, improving application functionality with targeted data while reducing access control complexity by limiting exposure to only what is necessary.
4Loss of information
If sensor data is aggregated across multiple devices, then data value and analysis capability are improved, but data processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the data aggregation task into two parts: devices segment their own sensor data collection and local processing, while the server performs the aggregation of data from multiple devices. This segmentation allows each device to operate independently with simpler processing, while the server handles the complex aggregation task, thus improving information utilization without excessively increasing complexity at the device level.
Data Source
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AI summary
Computer-readable storage media, apparatus and method associated with storing a copy of local data in a historical data store, among other embodiments, are disclosed herein. In embodiments, one or more computer-readable storage media may contain instructions which when executed by a computing device may provide access of local data to one or more applications on the computing device for contemporaneous processing by the one or more applications. The local data may be associated, at least in part, with one or more sensors of the computing device. In some embodiments, a copy of the local data may be transmitted to a remote historical data store where it may be categorized and correlated with data from computing devices associated with one or more other users for further processing.