Biometric Identity Infrastructure for Trusted Computing Resource Provenance
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Solution Overview
Problem
Modern connected computing lacks a coherent, secure, and interoperable framework for identifying and evaluating the suitability and provenance of diverse computing resources and events, leading to inefficient, unreliable, and insecure resource identification, which exposes users to misleading and malicious content.
Innovation Solution
Implementing an Existential Biometric Identification Network (EBInet) that uses near existential or existential quality biometric identification to provide secure, ubiquitously available identification information, ensuring authenticity and trustworthiness of resources and events through tamper-resistant devices and biometrically based identification systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If connected computing uses traditional identification methods, then device complexity is reduced, but reliability of resource identification deteriorates
Solution Approach 1:
The patent introduces an Existential Biometric Identification Network (EBInet) as an intermediary infrastructure that mediates between computing resources and identification verification. This network provides a standardized framework for resource identification while distributing the complexity across multiple nodes rather than concentrating it in single devices, thereby improving reliability without excessively increasing individual device complexity.
Solution Approach 2:
The identification system is segmented into multiple independent components including biometric sensors, feature extraction modules, matching algorithms, and decision-making systems. This segmentation allows each component to specialize in specific tasks, improving overall reliability through modular verification while managing complexity through distributed processing across system components.
2Reliability
If connected computing uses weak identification procedures, then ease of operation is improved, but security of resource identification deteriorates
Solution Approach 1:
The system performs preliminary biometric verification actions before granting access to resources. By pre-establishing identity verification through existentially reliable biometric identification, the system ensures security requirements are met before operations begin, while the automated nature of this preliminary verification maintains ease of operation for authorized users.
Solution Approach 2:
The identification system incorporates feedback mechanisms that continuously verify resource access against established biometric identities. This real-time feedback ensures security is maintained during operations, while the automated feedback loops prevent manual intervention bottlenecks, preserving ease of operation for legitimate users.
3Reliability
If connected computing lacks standardized identification framework, then adaptability to different resources is improved, but reliability of resource evaluation deteriorates
Solution Approach 1:
The EBInet framework provides universal identification capabilities that can evaluate multiple types of computing resources (devices, software, webpages, media, documents) through a single standardized biometric identification system. This multi-functional approach ensures reliable resource evaluation across diverse resource types while avoiding the complexity of maintaining separate identification systems for each resource category.
4Reliability
If connected computing uses patchwork evolution from independent architectures, then ease of manufacture is improved, but reliability of resource ecosystem deteriorates
Solution Approach 1:
The patent merges previously independent and incompatible identification architectures into a unified Existential Biometric Identification Network. This consolidation improves ecosystem reliability by establishing consistent identification standards across all connected computing resources, while the modular network architecture manages the complexity of integrating diverse legacy systems through standardized interfaces and protocols.
Data Source
AI summary
Connected computing enables the use of highly diverse environments that support operating frameworks for contemporary civilization. But computing productivity and trustworthiness are undermined by such environments' largely inchoate organization. These environments and their identity infrastructures are fragmented, and unnecessarily unreliable, insecure, and insufficiently informative due to current computing entity (e.g., resource) identification infrastructure design, which lacks root identification reliability. Such reliability is enabled herein by a fundamentally accurate and authenticity ensuring, near-existential or existential quality, biometrically and liveness based, portable identification and provenance infrastructure. Such an infrastructure provides ubiquitously available identification information that can be used universally for identification processes. Such biometrically and liveness-based identification information can be contemporaneously acquired and securely fused with or otherwise bound to associated entity identification information sets. Such sets are used to identify and assess entity suitability and/or authenticity, and/or establish user identity (specific human entity) for personal, societal, and organizational activities.