Trust Brokering Service Edge Computing Security
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Solution Overview
Problem
Edge computing environments face challenges in managing complex security requirements, especially in power-limited settings, where data-intensive and computationally intensive tasks require secure data transfer and processing without compromising latency or resource constraints.
Innovation Solution
Trust Brokering as a Service (TBaaS) provides a framework for secure data management and processing by brokering trust between edge nodes, enabling asymmetric security configurations, data filtering, and secure migration of workloads to optimize performance, latency, and security across edge and cloud environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If edge computing devices use traditional CPUs in dedicated appliances for computationally intensive tasks, then device functionality is maintained, but data transfer volume increases and latency increases
Solution Approach 1:
The system segments workloads into computationally intensive tasks executed at the edge device and data-intensive tasks handled at cloud servers. By separating these functions, the edge device can maintain low-latency processing for critical operations while offloading bulk data processing to the cloud, thus reducing overall transfer volume and latency.
Solution Approach 2:
A trust brokering service acts as an intermediary between edge devices and cloud servers, managing security protocols and data transfer. This intermediary layer optimizes the interaction by pre-processing data, establishing secure channels, and coordinating task distribution, thereby reducing the effective data transfer volume and latency between edge and cloud.
2Reliability
If edge computing environments implement complex security requirements with data isolation and filtering, then security is improved, but system complexity increases
Solution Approach 1:
The trust brokering service serves as a centralized intermediary that handles complex security protocols, data isolation, and filtering operations. By consolidating these security functions in a dedicated service layer, individual edge devices and applications do not need to implement complex security mechanisms themselves, thus maintaining high security while reducing overall system complexity.
Solution Approach 2:
The trust brokering service provides universal security functionality across multiple edge devices and cloud services. This multi-functional service handles various security requirements (data isolation, filtering, encryption, authentication) through a single unified system, reducing the complexity that would otherwise be distributed across multiple independent security implementations.
3Speed
If edge computing devices execute data-intensive applications locally, then processing speed is improved, but device resource constraints are exceeded
Solution Approach 1:
The system segments data processing tasks based on their intensity and requirements. Computationally intensive but data-light tasks are executed locally at the edge device to maintain high processing speed, while data-intensive tasks are offloaded to cloud servers. This segmentation allows the edge device to operate within its resource constraints while still providing fast processing for critical operations.
Solution Approach 2:
The trust brokering service acts as an intermediary that manages data transfer and processing coordination between edge devices and cloud servers. It optimizes which data is transferred, when it is transferred, and how it is processed, thereby enabling the edge device to maintain high processing speed for essential operations while managing data volume within resource constraints through intelligent data handling.
Data Source
AI summary
A system for trust brokering as a service includes an edge computing node and a trust brokering service edge computing device. The trust brokering service edge computing device receives a computing workload request from an application configured to process secure data and identifies a set of security requirements associated with the request. The device also identifies a security feature present in the set of security requirements but not provided by the edge computing node. To address this, the device generates an application execution environment that includes a secure plugin providing the security feature and a virtual device representing the edge computing node. The computing workload request is then executed at the application execution environment, providing a secure and efficient solution for trust brokering as a service.


