Time-Controlled Data Retention Architecture for 5G Privacy
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Solution Overview
Problem
Current solutions for data privacy in the context of 5G networks fail to provide adequate control over data retention periods, limiting the utility of real-time data for businesses and hindering the effectiveness of AI-based systems, as they require immediate deletion of user data, preventing long-term access and analysis.
Innovation Solution
A new architecture that utilizes 5G NR and WiFi networks to process user data at the edge or in the cloud, allowing end users to set time-controlled retention limits for their data through unique identifiers (1AdID, QuickID, and LongID), enabling data to be stored for varying durations based on user preferences, and allowing companies to access data for extended periods while ensuring privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If user data is immediately deleted after processing to preserve privacy, then user data privacy is improved, but data utility for AI systems and long-term analysis deteriorates
Solution Approach 1:
The patent segments data identifiers into multiple types with different retention periods: temporary identifiers (deleted immediately after processing), short-term identifiers (retained for limited periods), and long-term identifiers (retained for extended periods). This segmentation allows different portions of the data identification system to have different privacy and utility characteristics, resolving the contradiction between immediate deletion for privacy and long-term retention for utility.
2Loss of information
If data is retained for long-term access and analysis, then data utility for businesses and AI systems is improved, but user data privacy control deteriorates
Solution Approach 1:
The patent implements dynamic data retention where the lifespan of data identifiers is not fixed but adapts based on processing stage and business need. Temporary identifiers are deleted immediately, while long-term identifiers persist for extended analysis. The system dynamically transitions between these states, allowing data utility to be maintained at different temporal scales while preserving user privacy control through the ability to limit maximum retention periods.
3Adaptability or versatility
If multiple types of identifiers are used with different retention periods, then adaptability of data architecture is improved, but system complexity increases
Solution Approach 1:
The patent adds a temporal dimension to identifier management by introducing multiple identifier types with different lifecycles (temporary, short-term, long-term). This dimensional approach to data retention allows the system to handle diverse privacy and utility requirements without fundamentally changing the core data processing architecture. The complexity is managed by organizing identifiers along the time dimension rather than creating entirely separate systems.
Data Source
AI summary
The present disclosure relates to techniques for providing and facilitating time-controlled data for preserving privacy of data sources. Embodiments are provided herein for methods, processes, devices, network nodes, computer program products, and computer-readable media. In some embodiments, a network node receives first data for a first data transaction that is assigned a unique identifier. In response, the network node enables transmission of second data and the unique identifier to one or more entity. In accordance with a determination that an indication of the time limit indicates a non-zero time limit for retention of the first data for the first data transaction, the node enables storage of one or more of the first data and the second data according to the time limit. In accordance with a determination that the indication does not indicate a non-zero time limit, the node causes deletion of the first data and the second data.