Entity-Specific Data Assets with Self-Authentication and Encryption
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Solution Overview
Problem
Existing systems fail to effectively manage and protect entity-specific data assets, leading to misappropriation and misrepresentation, as well as data integrity degradation, without proper consent and compliance with privacy laws.
Innovation Solution
The implementation of self-authentication and encryption technology, utilizing the QEDX file creation algorithm, to assert entity-specific rights and limitations on data usage, ensuring data integrity and compliance with privacy regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data are aggregated into databases to support data markets, then economic value is increased, but data integrity and ownership rights are compromised without consent
Solution Approach 1:
The system performs preliminary actions by attaching cryptographic hashes and digital signatures to data objects before aggregation. These metadata elements are embedded in the data structure itself, enabling future verification of integrity and ownership without requiring ongoing manual intervention or trust in centralized systems.
Solution Approach 2:
Cryptographic hashes and digital signatures serve as intermediaries between data objects and verification systems. These intermediaries carry encoded information about ownership, integrity, and provenance, allowing third parties to verify data attributes without accessing the actual data or requiring direct trust relationships.
2Reliability
If encryption technology is applied to protect entity-specific rights, then data security is improved, but data accessibility and processing capability are reduced
Solution Approach 1:
The system segments data protection into multiple independent layers: cryptographic hashes for integrity verification, digital signatures for authentication, and encryption for confidentiality. Each layer operates independently and can be applied or verified without affecting the others, allowing selective processing based on operational needs.
Solution Approach 2:
The system creates cryptographic copies (hashes and signatures) of data objects that can be verified without copying the actual data. These metadata copies enable verification and authentication operations while the encrypted data remains protected, separating verification functions from data access functions.
3Reliability
If self-authentication technology is implemented to assert entity rights, then data ownership is protected, but system complexity increases
Solution Approach 1:
The system merges multiple functions into unified data structures: cryptographic hashes, digital signatures, and encryption are combined within the data object metadata. This integration allows simultaneous verification of integrity, authentication of ownership, and protection of confidentiality without requiring separate systems or processes.
Solution Approach 2:
The data object structure is designed with universal multi-functionality, where the same metadata fields serve multiple purposes: storing data, verifying integrity through hashes, authenticating ownership through signatures, and enabling selective decryption. This eliminates the need for separate specialized systems for each function.
Data Source
AI summary
The use of digital data privacy asserting technology, including but not limited to encryption technology, is specified so as to create entity specific data assets that assert entity specific data rights, including but not limited to, the right to determine how that data can be used by others.