Digital Genomic Security Control for Hyper-Scalable Ecosystems
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Solution Overview
Problem
Current security solutions are inadequate in addressing the hyper-scalability dilemma, which is essential for comprehensive security in digital ecosystems, and they struggle to differentiate between noble and nefarious activities in network-centric environments.
Innovation Solution
The Cyphergenics (CG) technology employs computationally complex genomic constructions and information theory principles to enable hyper-scalability, allowing for virtual unboundedness in digital ecosystems while preserving interoperability and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security solutions (firewalls, PKI, cryptography) are deployed to protect digital ecosystems, then security coverage is improved, but hyper-scalability deteriorates due to linear scalability limitations and inability to handle billions of security instances
Solution Approach 1:
The patent applies copying by using genomic data sets as replicable security templates that can be instantiated billions of times across digital ecosystems. Each genomic data set contains security policies and rules that can be copied and deployed to multiple virtualized components (VDAXs) without requiring proportional increases in management overhead, thus achieving hyper-scalability while maintaining comprehensive security coverage
Solution Approach 2:
The patent employs parameter changes by transforming security management from traditional linear scaling to exponential scaling through genomic-based parameterization. By encoding security policies as genomic data with configurable parameters (such as entropy levels, correlation coefficients, and differentiation factors), the system can dynamically adjust security instances to handle billions of connections while maintaining manageable complexity through parameter-driven configuration
2Adaptability or versatility
If digital ecosystems expand to accommodate more virtualized components and interoperability, then versatility is improved, but security control deteriorates due to the inability to differentiate between noble and nefarious activities
Solution Approach 1:
The patent applies local quality by implementing differentiated security controls within the genomic data sets that allow specific security policies to be applied to different types of digital entities and interactions. The genomic structure enables local customization of security parameters for different VDAXs, enclaves, and cohorts while maintaining overall system-wide security coherence, thus enabling both high interoperability and precise security control
Solution Approach 2:
The patent employs inversion by reversing the traditional security approach: instead of trying to identify and block nefarious activities after they occur, the genomic data sets proactively encode security rules that prevent unauthorized or harmful interactions from occurring in the first place. The system inverts the problem from detection-response to prevention-through-design, where the genomic structure itself embodies security control mechanisms
Data Source
AI summary
Techniques for performing genomic security-related control of a digital ecosystem are disclosed. In embodiments, the digital ecosystem includes an ecosystem VDAX that maintains a progenitor genomic data set corresponding to the digital ecosystem, generates a plurality of respective progeny genomic data sets based on the progenitor genomic data set, and allocates the progeny genomic data set to a respective progeny VDAX of a plurality of progeny VDAXs, wherein the progeny VDAX establishes unique non-recurring engagements with other progeny VDAXs in the digital ecosystem based on the respective progeny genomic data set allocated to the progeny VDAX without any further interaction from the ecosystem VDAX. The ecosystem VDAX also controls a genomic topology of the ecosystem by selectively updating one or more of the progeny genomic data sets to affect an ability of specific progeny VDAXs to engage with other VDAXs in the ecosystem.