AI Neural Tree Data Structure for Secure File Storage
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Solution Overview
Problem
Existing file systems are insecure as their static structure can be easily determined, allowing nefarious devices to reconstruct stored files, and encrypting the entire file system is not entirely secure and results in data loss.
Innovation Solution
The use of a self-securing, dynamically programmable neural tree data structure with trained artificial intelligence models to encrypt and store data blocks instead of the entire file system, preventing file reconstruction by storing data blocks in a non-sequential manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire file system is encrypted, then security is improved, but data loss increases and the system becomes less efficient
Solution Approach 1:
The patent divides the file system into individual file components and encrypts only specific files or data blocks rather than the entire file system. This segmentation allows selective encryption of sensitive data while leaving non-sensitive areas unencrypted, thereby reducing data loss and improving efficiency while maintaining security for critical information.
2Ease of operation
If traditional file system structures are used, then ease of operation is improved, but security deteriorates as files can be easily reconstructed
Solution Approach 1:
The patent implements dynamic encryption keys that change over time or based on access conditions, making the file system structure adaptive rather than static. This dynamic approach prevents nefarious devices from reconstructing files through static analysis while maintaining ease of operation through automated key management and transparent encryption/decryption processes.
Solution Approach 2:
The patent changes the parameters of file storage by applying encryption transformations to data blocks, altering their mathematical representation. This parameter change makes the stored data mathematically secure while maintaining the operational functionality of the file system through proper decryption mechanisms.
3Loss of substance
If selective file encryption is implemented, then data loss is reduced, but device complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where the file system automatically manages encryption key generation, distribution, and rotation without requiring complex external key management infrastructure. This self-service approach reduces device complexity by embedding security management within the file system itself while maintaining selective encryption capabilities.
Data Source
AI summary
The present technology relates to identifying an artificial intelligence model based on a received first key value to write a received first block of data associated with a file. The received first key value is applied to the identified artificial intelligence model which is trained to output one of a plurality of actual index values where the identified artificial intelligence model and the plurality of data blocks are stored as a neural tree. The one of the actual index values is compared to a range within the actual index values to determine when the one of the actual index value points to a first data block of the plurality of data. The received first block of data associated with the file is written into the determined first data block.