Trust Index Repository Matching for Dynamic 5G Authentication
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Solution Overview
Problem
Conventional 5G systems lack dynamic user context consideration and fail to support dynamic user authentication based on trust indices, leading to security vulnerabilities and potential attacks.
Innovation Solution
Implement a trust index aware repository function (TIARF) that manages service producer registration and discovery using trust index values, including device and user trust indices, to ensure secure and dynamic authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional 5G systems authenticate users only once and allow long-term access, then user access convenience is improved, but system security deteriorates
Solution Approach 1:
The patent implements dynamic authentication by introducing trust index values that are continuously updated based on user behavior, device status, and service context. The authentication mechanism transitions from static (one-time authentication) to dynamic (continuous trust evaluation), allowing the system to adapt authentication requirements based on real-time conditions while maintaining user convenience through automated trust assessments.
Solution Approach 2:
The system establishes a feedback loop where trust index values are continuously monitored and updated based on user actions, service usage patterns, and security events. This feedback mechanism enables the system to automatically adjust authentication requirements and revoke access when trust thresholds are not met, thereby maintaining security without requiring manual intervention while preserving user convenience through automated decision-making.
2Device complexity
If conventional 5G systems do not consider dynamic user context, then system complexity is reduced, but authentication reliability deteriorates
Solution Approach 1:
The patent segments the authentication system into multiple independent components: trust index calculation modules, trust threshold management modules, and context evaluation modules. Each component handles specific aspects of trust assessment (user context, device context, service context), allowing the system to process complex dynamic information through modular, manageable units that can be independently configured and maintained.
Solution Approach 2:
The system performs preliminary trust index calculations and context evaluations before actual service access is granted. By pre-assessing user trust levels and establishing authentication thresholds in advance, the system prepares authentication decisions proactively, reducing the complexity of real-time authentication while improving reliability through pre-computed trust assessments that guide access decisions.
3Productivity
If conventional 5G systems allow single authentication for multiple services, then service access efficiency is improved, but trust management capability deteriorates
Solution Approach 1:
The patent implements a universal trust index framework that can be applied across multiple services and contexts. The trust index calculation and evaluation mechanism serves multiple functions: initial authentication, continuous trust monitoring, service-specific access control, and dynamic privilege management. This multi-functional approach maintains service access efficiency while enabling sophisticated trust management across diverse service scenarios through a unified trust assessment system.
Data Source
AI summary
Various embodiments provide one or more methods for trust index aware repository functions (TIARFs) and systems thereof. A TIARF may reside in a core network (CN), an edge network, a radio access network, a local network, an enhanced network repository function in the CN, a wireless transmit/receive unit, a service enabler server, an edge application server, an application function, and/or a server in a data network. The TIARF provides mutual trust between one or more function entity service consumers (FESCs) and function entity service producer (FESPs). The TIARF utilizes one or more trust indexes associated with the one or more FESCs and/or FESPs, and matches the one or more FESPs and FESCs based on the one or more trust indexes. The TIARF utilizes a trust management function to determine the one or more trust indexes, and stores one or more FESP profiles associated with one or more registered FESPs.


