工業物聯網（IIoT）部署規模的不斷擴大，伴隨而來的是日益嚴峻的安全風險，促使企業採用零信任架構（ZTA），ZTA是一種「永不信任、始終驗證」的模型，將每個使用者和裝置視為潛在的惡意來源。雖然 ZTA 大幅增強了防禦能力，但同時也引入因為不斷驗證造成的處理延遲，與 IIoT 嚴格的即時需求發生衝突。為了解決此問題，我們提出了一種根據動態信任分數的優先佇列框架，根據封包的即時信任分數將其分配到不同的服務層級，高信任流量能夠較快取得服務，並將此推導至時間敏感網路（TSN）的八階優先佇列中。透過將篩選後的流量建模為 G/D/1 排隊系統，我們即使在非泊松到達下也能預估系統等候時間。結果顯示，程式模擬能使系統等待時間降低 13%，原型架構能使系統等待時間降低 16%，且相同原理可直接擴展至 TSN 的完整八階佇列層級，以保證關鍵 IIoT 訊息的延遲上限。

The ever-growing scale of Industrial Internet of Things (IIoT) deployments has heightened security risks, motivating the adoption of Zero Trust Architecture (ZTA), a “never trust, always verify” model, that treats every user and device as potentially malicious. While ZTA significantly strengthens system defenses, it can also introduce non-negligible processing delays that conflict with IIoT’s stringent real-time requirements. To address this, we introduce a dynamic, trust-driven priority-queueing framework that assigns packets to service tiers based on their real-time trust scores and seamlessly maps high-trust flows into Time-Sensitive Network (TSN)’s eight-level priority scheduling. By modeling the post-filter traffic as a G/D/1 queue, we obtain closed-form delay bounds even under non-Poisson arrivals. Through simulation, our two-tier model demonstrates a 13% reduction in average waiting time. Furthermore, our prototype architecture which is implemented using the MQTT protocol, achieves a 16% reduction in average waiting time. The same principles can be directly extended to TSN’s full eight-tier queuing hierarchy to guarantee bounded latency for critical IIoT messages.

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