Cyber Gene ID Matrix for Universal Entity Authentication
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Solution Overview
Problem
Current identification technologies in Cyber Physical Systems lack standardization and ubiquity, failing to uniquely identify objects and provide trusted authentication across diverse entities and conditions, leading to limitations in information security, network credibility, and privacy protection.
Innovation Solution
The Cyber Gene ID technology extracts intrinsic information from client, connection, and cloud parameters to create a unique, multi-dimensional identification matrix, enabling one-to-one projection between physical and cyber spaces, ensuring objectiveness, uniqueness, security, and privacy through a 'digital DNA' approach.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional identification technologies (IP addressing, RFID, E163/E164) are used, then identification can be achieved for specific object types, but standardization and universality across diverse entities cannot be realized
Solution Approach 1:
The patent creates a universal identification system that can identify any entity (physical objects, virtual entities, users, devices) through a unified protocol stack approach. The C3 protocol stack serves as a multi-functional framework that handles identification across diverse entity types without requiring separate identification systems for each object category, thus achieving universality without proportionally increasing complexity.
Solution Approach 2:
The patent introduces a new dimensional approach by creating a multi-layered identification space using the C3 protocol stack (client layer, connection layer, cloud layer). This multi-dimensional identification space allows entities to be identified through multiple attributes and parameters across different layers, enabling universal identification while maintaining manageable complexity through structured organization.
2Measurement precision
If single-dimensional identification criteria are used, then identification process is simple, but unique identification of diversified entities cannot be achieved
Solution Approach 1:
The patent segments the identification system into three distinct layers: client layer (C1), connection layer (C2), and cloud layer (C3). Each layer handles specific identification attributes and parameters, allowing the system to achieve high identification accuracy through multi-dimensional criteria while managing complexity through modular segmentation. Each layer can be developed and maintained independently.
Solution Approach 2:
The patent transitions from single-dimensional identification to multi-dimensional identification by introducing vertical layering (client, connection, cloud) and horizontal parameter dimensions (multiple attributes per layer). This dimensional expansion enables precise identification of diversified entities while organizing complexity into structured, manageable layers with clear responsibilities.
3Productivity
If existing identification protocols are deployed, then local optimization can be achieved, but global efficiency and network-wide standardization deteriorate
Solution Approach 1:
The C3 protocol stack serves as a universal identification framework that can be deployed across the entire network while maintaining local optimization capabilities. The system allows different entities to utilize the same standardized protocol stack, enabling global efficiency through consistent identification processes while adapting to various entity types and local requirements through configurable parameters within the unified framework.
4Reliability
If trusted ID systems are implemented without comprehensive entity analysis, then authentication can be obtained quickly, but reliability and trustworthiness of identification deteriorate
Solution Approach 1:
The patent performs preliminary actions by establishing the C3 protocol stack framework and defining identification parameters in advance. The system pre-configures the multi-layered identification structure and parameter relationships, enabling rapid authentication when needed. The foundational work of creating the standardized protocol stack and parameter definitions is completed beforehand, allowing quick and reliable identification execution without sacrificing trustworthiness.
Data Source
AI summary
A new identification (ID) technology comprising unified and standardized object identification within Cyber Space is disclosed based upon intrinsic properties of the entity to be identified. This Cyber Gene ID (or Cyber ID) technology extracts intrinsic information from either the physical users or their cyberspace counterparts, and such information is categorized into client parameters, dynamic parameters, static parameters, cloud parameters, connection parameters and user parameters.