| dc.contributor | 資訊系 | |
| dc.creator (作者) | 孫士勝 | |
| dc.creator (作者) | Lin, Hao-Cheng;Liu, Ping-Chih;Sun, Shi-Sheng | |
| dc.date (日期) | 2025-12 | |
| dc.date.accessioned | 4-May-2026 13:29:34 (UTC+8) | - |
| dc.date.available | 4-May-2026 13:29:34 (UTC+8) | - |
| dc.date.issued (上傳時間) | 4-May-2026 13:29:34 (UTC+8) | - |
| dc.identifier.uri (URI) | https://ah.lib.nccu.edu.tw/item?item_id=182283 | - |
| dc.description.abstract (摘要) | The ever-growing scale of Industrial Internet of Things (IIoT) deployments has heightened security risks, motivating adoption of Zero Trust Architecture (ZTA)—a "never trust, always verify" model that treats every user and device as potentially malicious. While ZTA greatly strengthens defense, 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 score 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 queueing model, we obtain closed-form delay bounds even under non-Poisson arrivals. In simulation, our two-tier prototype already yields a 10% reduction in average waiting time, and a 13% reduction is achieved by the prototype architecture implemented using the MQTT protocol. The same principles can be directly extended to TSN’s full eight-tier queuing hierarchy to guarantee bounded latency for critical IIoT messages. | |
| dc.format.extent | 108 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | IEEE AIoT 2025 Conference Proceedings, IEEE Internet of Things Community, pp.91-98 | |
| dc.subject (關鍵詞) | Zero Trust Architecture (ZTA); Industrial Internet of Things (IIoT); Priority Queue; Abnormal Detection; Time Sensitive Network (TSN) | |
| dc.title (題名) | Improving System Efficiency using Priority Queue in Zero Trust IIoT Networks | |
| dc.type (資料類型) | conference | |
| dc.identifier.doi (DOI) | 10.1109/AIoT66900.2025.00024 | |
| dc.doi.uri (DOI) | https://doi.org/10.1109/AIoT66900.2025.00024 | |