Dynamic Trust Realm Derivation for Secure Administrative Domain Interactions
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Solution Overview
Problem
Existing security federation models fail to dynamically and securely facilitate interactions between administrative domains during collaborative processes, lacking efficient mechanisms for trust realm derivation and secure communication establishment.
Innovation Solution
The proposed solution involves modeling interactions using Web Services Choreography Description Language (WS-CDL) to specify role information and interactions between administrative domains, dynamically resolving appropriate domains based on role information, and automatically deriving trust realms for secure communication through the issuance of security tokens and format conversion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional pre-defined interaction models are used, then entities can interact in a preset sequence, but the system lacks adaptability when collaboration needs arise dynamically
Solution Approach 1:
The patent implements dynamic service composition where the interaction model transitions from static pre-defined sequences to runtime-determined collaborations. The system dynamically resolves appropriate administrative domains based on role information and automatically derives trust realms when collaboration needs arise, allowing the interaction structure to adapt flexibly to changing requirements while maintaining security through automated trust establishment
2Adaptability or versatility
If dynamic resolution of administrative domains is implemented, then the system gains flexibility in selecting appropriate enterprises, but trust establishment becomes more complex
Solution Approach 1:
The system implements automated self-service mechanisms where the trust realm derivation occurs automatically when collaboration needs arise. The system autonomously resolves appropriate administrative domains based on role information and establishes trust relationships without manual intervention, reducing the perceived complexity for users while maintaining robust security through automated cryptographic operations and trust negotiation
3Speed
If secure interactions are established dynamically, then the system can respond to collaboration needs in real-time, but the time required for trust realm derivation increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing the framework for trust realm derivation and maintaining role information repositories in advance. When collaboration needs arise, the system leverages these pre-prepared structures to rapidly resolve appropriate administrative domains and derive trust realms, significantly reducing the time required compared to establishing security relationships from scratch while maintaining real-time responsiveness
Data Source
AI summary
Secure interactions between administrative domains are modeled. The modeled process specifies role information for each of the administrative domains and interaction between the administrative domains. Role information associated with candidate administrative domains is received, and appropriate administrative domains from the candidate administrative domains are dynamically resolved based on the modeled process and the received role information. Trust realms between the dynamically resolved appropriate administrative domains are automatically derived based on the role information and the interactions from the modeled process. The secure interaction between the dynamically resolved appropriate administrative domains is effected through the automatically derived trust realms.


