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Toward a Performance-Based Trustworthy Edge-Cloud Continuum
DOI:10.1109/ACCESS.2024.3429197.png)
摘要
En 中文
The Edge-Cloud Continuum refers to the dynamic provisioning of distributed computing and network resources that can be scaled to support the creation of secure, resource-efficient, and decentralised digital ecosystems, which also support federated topologies for collaborating and sharing resources. Trusted interaction and orchestration of distributed edge-cloud resources are the fundamental principles of distributed network infrastructure and service provisioning. The zero trust architecture (ZTA) paradigm is gaining momentum based on being able to ensure trusted and secure interaction for edge-cloud networks. However, ZTA's strict authentication policy mandates devices to be authenticated for every session, leading to significant overhead for resource-constrained devices engaged in multiple sessions. To address this challenge, this paper proposes a ZTA that integrates a performance-based trust assessment mechanism, allowing a higher number of consecutive sessions without the need for costly authentication/authorisation while preserving system integrity. Reputation, viewed through the performance lens, is a metric to gauge a node's trustworthiness, considering its past behaviour and interactions. The proposed trust assessment mechanism is evaluated for its feasibility within our conceptualised ZTA for edge computing environments with limited resources, and simulation results demonstrate the practicality of utilising this technique in zero trust environments.
Keyword:
Zero Trust
Performance evaluation
Servers
Engines
Computational modeling
Peer-to-peer computing
Cloud computing
Edge-cloud continuum
edge computing
reputation
performance-based trust
zero trust architecture
zero trust architecture
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
暂无机构信息
引用论文
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A Reliable and Lightweight Trust Computing Mechanism for IoT Edge Devices Based on Multi-Source Feedback Information Fusion
IEEE ACCESS
IF3.6

