Dispersed Storage Data Decoding with Transposition
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Solution Overview
Problem
Existing data storage solutions face reliability and security challenges, as storing data in a single location is prone to malfunction or malicious access, while backup methods increase security risks and encryption methods can be vulnerable to attacks.
Innovation Solution
A dispersed data storage system using an information dispersal algorithm to split data into multiple slices, stored across separate nodes, with optional encryption and all-or-nothing transformations to enhance security, ensuring that no single location has the entire data and requiring multiple nodes to reconstruct the original information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If data is stored in a single location, then storage simplicity is improved, but reliability and security deteriorate
Solution Approach 1:
The patent applies segmentation by dividing data into multiple slices using an information dispersal algorithm and storing them across different locations. This allows the system to maintain simplicity while improving reliability, as the data can be reconstructed from multiple slices rather than requiring a single complete copy.
Solution Approach 2:
The patent implements nesting by embedding encrypted data within steganographic containers that are further dispersed across multiple storage locations. This nested structure protects data reliability by providing multiple layers of protection and redundancy without significantly increasing system complexity.
2Reliability
If data is backed up in separate locations, then reliability is improved, but security deteriorates
Solution Approach 1:
The patent segments data into multiple encrypted slices distributed across different locations. This segmentation approach maintains reliability through redundancy while improving security, as an attacker would need to compromise multiple locations simultaneously rather than accessing a single backup copy.
Solution Approach 2:
The patent applies local quality by implementing location-specific security measures, including steganographic concealment at each storage node and localized encryption keys. This ensures that each location provides appropriate security protection tailored to its specific risk profile while maintaining overall data reliability.
3Object-affected harmful factors
If encryption is applied to data, then security is improved, but processing performance deteriorates
Solution Approach 1:
The patent segments data into smaller slices before encryption, which improves processing performance by allowing parallel encryption operations on multiple slices simultaneously. This segmentation approach maintains strong security while reducing the computational burden on individual processing units.
Solution Approach 2:
The patent applies partial encryption by encrypting only the essential data slices rather than entire data sets, and uses selective steganographic protection on critical portions. This partial action approach maintains adequate security protection while significantly improving processing performance by reducing the total computational workload.
Data Source
AI summary
A method operating on a computer begins by generating a read command to read at least some of a plurality of data slices from a dispersed storage network. The method continues by receiving the at least some of the plurality of data slices. The method continues by performing a reverse information dispersal algorithm on at least some of the plurality of data slices to produce a plurality of transposed data elements. The method continues by reverse transposing the plurality of transposed data elements to recover data elements of a data segment.