Private Information Isolation in Streamed Data
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Solution Overview
Problem
The increasing collection and storage of personal data pose significant threats to privacy, as existing systems fail to effectively isolate and protect sensitive information, leading to potential massive leaks of private information.
Innovation Solution
A method and system for isolating private information in streamed data by receiving a data stream, comparing usage indications against rules to identify private information, extracting and removing it, and storing the modified stream and extracted information in separate locations, using a hardware processor or computer executable instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is collected and stored for long-term use, then data availability and utility are improved, but privacy security deteriorates due to potential massive leaks
Solution Approach 1:
The patent segments data into public and private portions, storing them in separate storage locations. This segmentation allows the system to maintain long-term data availability while protecting privacy by ensuring that even if one storage location is compromised, the private information remains secure and cannot be accessed without authorization.
Solution Approach 2:
The patent extracts private information from the original data stream and stores it separately from the public data. This extraction process removes sensitive information from the main data storage, allowing long-term retention of useful data while isolating privacy risks into a separately protected storage location.
2Object-affected harmful factors
If private information is removed from data streams, then privacy protection is improved, but data completeness deteriorates
Solution Approach 1:
The patent creates a copy of the private information and stores it in a separate protected location. This copying mechanism allows the original data stream to be purified of sensitive information while preserving the complete information set in a secure, separate storage location that can be accessed only with proper authorization.
Solution Approach 2:
The patent introduces a metadata structure that acts as an intermediary, containing information about the extracted private data. This metadata enables the system to track and potentially reconstruct the original complete data stream while maintaining the separation between public and private information during storage.
3Object-affected harmful factors
If data processing rules are applied to identify private information, then privacy isolation is improved, but processing complexity increases
Solution Approach 1:
The patent applies data processing rules and identifies private information during the initial data ingestion phase, before storage. This preliminary action allows the system to establish proper segmentation and protection mechanisms early in the data lifecycle, simplifying subsequent storage and access operations while achieving effective privacy isolation.
Data Source
AI summary
Disclosed herein are systems and method for isolating private information in streamed data. In an exemplary aspect, a method may comprise receiving a stream of data, for storage in a first storage device, and an indication of how the stream will be utilized by an end user. The method may comprise comparing the indication against a plurality of rules, wherein each rule indicates a type of private information that should be isolated from a given input stream based on a respective indication of usage for the given input stream. The method may comprise identifying and extracting a first type of private information that should be isolated from the stream, modifying the stream by removing the first type of private information from the stream, storing the modified stream in the first storage device, and storing the extracted first type of private information in a different location from the modified stream.