Overlapping Data Bubbles for Granular Integrity Detection
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Solution Overview
Problem
Current technologies lack effective methods for granularly identifying and restoring trustworthy data subsets within electronic files, especially in the face of data integrity attacks, which can lead to significant losses and trust issues in information-driven systems.
Innovation Solution
The method employs overlapping 'bubbles' applied to electronic files, where each bubble has a unique signature. By comparing the initial and target files using these signatures, the system identifies regions of change, allowing for granular restoration and minimizing the need for entire data set backups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional backup methods are used to ensure data integrity, then data can be restored after attacks, but entire data sets must be restored which increases recovery time and costs
Solution Approach 1:
The patent divides the data set into multiple subsets using bubble overlays with unique signatures. Each bubble represents a segment of data that can be independently identified and restored. When data integrity is compromised, only the affected bubble segments need to be restored rather than the entire data set, significantly reducing recovery time while maintaining reliability through granular control.
2Reliability
If traditional backup methods are used to ensure data integrity, then data can be restored after attacks, but storage costs increase due to full data set backups
Solution Approach 1:
The patent segments data into bubble subsets with unique signatures, allowing selective restoration of only compromised segments. This reduces the amount of backup storage needed compared to traditional full data set backups, as only affected bubbles need to be stored and restored, directly addressing the storage resource waste problem.
3Loss of substance
If granular identification of suspect data is implemented, then recovery costs are reduced, but system complexity increases
Solution Approach 1:
The patent uses bubble overlays with unique signatures that can be copied and applied to identify data subsets. These signature bubbles serve as templates that can be replicated across different data sets, providing a standardized approach to granular identification without requiring complex custom solutions for each case, thus reducing overall system complexity while enabling cost-effective granular recovery.
4Measurement precision
If overlapping bubbles are used to identify data regions, then granular detection precision is improved, but the number of bubbles and processing complexity increase
Solution Approach 1:
The patent uses overlapping bubbles where each bubble extends slightly beyond the regions it needs to cover. This excessive coverage ensures that boundaries between data regions are clearly defined and detectable, improving measurement precision. The overlap creates redundancy that simplifies boundary detection algorithms, as the overlapping regions provide clear transition zones that are easier to process than sharp, non-overlapping boundaries.
Data Source
AI summary
Methods, apparatuses and systems are defined for the efficient identification and location of changes in an electronic file by defining and applying a set of overlapping unique areas within the file. A signature for each unique area or bubble is determined and compared to the signature of the same set of unique areas applied to a target file.