Trust Zone Assignment for Edge Device Security
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Solution Overview
Problem
In Fog and Edge computing networks, establishing and managing trust relationships between devices is challenging, especially when interactions need to occur quickly or in situations where standard handshake procedures are not suitable, such as in dynamic cluster construction across a network with relay nodes.
Innovation Solution
A trust management system that allows devices to establish and validate trust relationships by observing neighboring devices, determining trust levels based on predefined zones, and assigning them accordingly, using existing hardware capabilities and modes of operation like Fog/Edge Mode or Analog Mode to ensure secure communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard handshake procedures are used to establish trust relationships, then trust validation is performed, but the interaction time increases and may not meet quick interaction requirements
Solution Approach 1:
The system performs preliminary actions by pre-establishing trust relationships and maintaining trust zones before actual interactions occur. Devices are pre-authenticated and placed in trust zones based on observed behavior patterns, so when interaction is needed, the trust relationship is already validated without requiring time-consuming handshake procedures at the moment of interaction.
Solution Approach 2:
The system creates a virtual representation of trust relationships through trust zones that copy the essential security attributes without requiring full authentication protocols. Instead of repeatedly executing complete handshake procedures, the system uses simplified trust zone references that replicate the security validation outcome, dramatically reducing interaction time while maintaining trust reliability.
2Reliability
If trust relationships are established through detailed handshake procedures, then security is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The system segments the complex trust management process into distinct trust zones with different security levels and requirements. Each zone has simplified entry criteria and management rules, breaking down the overwhelming complexity of universal trust validation into manageable segments that can be handled independently based on the specific interaction context.
Solution Approach 2:
The system applies different trust management approaches locally to different zones and device types rather than using a uniform complex protocol everywhere. Each trust zone has tailored security measures appropriate to its specific risk level and functional requirements, reducing overall system complexity by matching security intensity to local needs rather than applying maximum complexity universally.
3Adaptability or versatility
If dynamic cluster construction is implemented across Fog/Edge networks, then service delivery flexibility is improved, but trust management reliability deteriorates as service delivery routes change
Solution Approach 1:
The system implements dynamic trust zone assignments that automatically adjust as devices move between clusters and service delivery routes change. Trust zones are not static but adapt in real-time to the current network topology and service requirements, maintaining reliable trust relationships even as the underlying infrastructure dynamically reconfigures itself for optimal service delivery.
Solution Approach 2:
The system continuously monitors device behavior and trust relationship status, using this feedback to dynamically adjust trust zone assignments and validate trust relationships as service delivery routes change. This closed-loop feedback mechanism ensures that trust management remains reliable despite the dynamic nature of cluster construction and route changes by constantly adapting to current conditions.
Data Source
AI summary
Systems, methods, and computer-readable media are provided for managing mutual and transitive trust relationships between resources, such as Fog/Edge nodes, autonomous devices (e.g., IoT devices), and/or analog/biological resources to provide collaborative, trusted communication over a network for service delivery. Disclosed embodiments include a subject resource configured to assign an observed resource to a trust zone based on situational and contextual information. The situational information may indicate a vector of the observed resource with respect to the subject resource. The contextual information may be based in part on whether a relationship exists between the subject resource and the observed resource. The subject resource is configured to determine a trust level of the observed resource based on the determined trust zone. Other embodiments are disclosed and/or claimed.