Genomic Digital Signatures for Scalable Secure Authentication
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Solution Overview
Problem
Existing digital ecosystems face challenges in achieving hyper-scalability and interoperability while maintaining security, as they share a common-machine-language that renders noble and nefarious activities indistinguishable, leading to vulnerabilities in cyber-attacks and privacy breaches.
Innovation Solution
Cyphergenics (CG) technology employs computationally complex genomic constructions to create secure, hyper-scalable digital ecosystems with controlled entropy, enabling virtual authentication, affiliation, agility, and trusted execution domains through genomic network topologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Cyphergenics technology employs computationally complex genomic constructions to create secure digital ecosystems, then security and scalability are improved, but system complexity increases
Solution Approach 1:
The patent introduces Cyphergenics as an intermediary layer between digital entities and the underlying common-machine-language infrastructure. This intermediary implements genomic constructions that translate high-level security requirements into computationally complex but manageable operations, resolving the contradiction by providing security without directly exposing the full complexity of the cryptographic mechanisms to the system architecture.
Solution Approach 2:
The system dynamically adjusts parameters of genomic constructions based on security requirements and operational context. By changing parameters such as entropy levels, key lengths, and genomic sequence complexity, the system can enhance security when needed while maintaining lower complexity during routine operations, thus resolving the trade-off between security and system complexity.
2Productivity
If Cyphergenics enables hyper-scalability with controlled entropy, then the number of authenticatable digital cohorts increases, but computational overhead increases
Solution Approach 1:
The system performs preliminary generation and validation of genomic constructions during off-peak periods or during initial system setup. By pre-computing and caching genomic sequences, keys, and authentication parameters, the system reduces real-time computational overhead when handling authentication requests for newly added digital cohorts, thus enabling hyper-scalability without proportional increases in operational computational overhead.
Solution Approach 2:
The system creates and manages copies of genomic constructions for different digital cohorts and ecosystems. By replicating validated genomic patterns and authentication mechanisms across multiple instances, the system can rapidly scale to accommodate new cohorts without repeating the full computational validation process for each individual, thereby reducing per-unit computational overhead while maintaining security.
Data Source
AI summary
In some embodiments, a method for encrypting a file includes receiving a file comprising file data and file metadata; retrieving a genomic differentiation object and genomic regulation instructions that define a set of operations that modify the genomic differentiation object; modifying the genomic differentiation object into a modified genomic differentiation object based on the genomic regulation instructions; extracting a sequence of bits from a predetermined set of bit locations of the file metadata; generating a genomic engagement factor based on the modified genomic differentiation object and the extracted sequence; and encrypting at least one portion of the file data using the genomic engagement factor.