| dc.contributor | 資訊系 | |
| dc.creator (作者) | 孫士勝 | |
| dc.creator (作者) | Xie, Bo-Cheng;Liu, Ping-Chih;Sun, Shi-Sheng | |
| dc.date (日期) | 2025-12 | |
| dc.date.accessioned | 4-May-2026 13:29:32 (UTC+8) | - |
| dc.date.available | 4-May-2026 13:29:32 (UTC+8) | - |
| dc.date.issued (上傳時間) | 4-May-2026 13:29:32 (UTC+8) | - |
| dc.identifier.uri (URI) | https://ah.lib.nccu.edu.tw/item?item_id=182281 | - |
| dc.description.abstract (摘要) | As Internet of Things (IoT) networks expand, posing dynamic security threats that traditional models struggle to address, and there is a pressing need for a novel defense mechanism. This paper proposes a game-theoretic Zero Trust Architecture-based framework that integrates edge computing and game theory within Zero Trust Architecture to enhance both security and efficiency of IoT networks. While edge computing reduces latency and energy consumption by offloading IoT devices’ tasks to edge servers, game theory is employed to model strategic interactions, optimizing resource allocation and security policies dynamically. Our framework mitigates threats, optimizes system performance, and ensures secure interactions. Furthermore, it provides a scalable, adaptive, and efficient security solution for IoT networks, offering both theoretical insights and practical guidance for future IoT applications. | |
| 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.479-486 | |
| dc.subject (關鍵詞) | Internet of Things (IoT); Task Offloading; Game Theory; Zero Trust; Edge Computing | |
| dc.title (題名) | A Game-Theoretic Framework for Secure and Efficient Task Offloading in IoT Networks | |
| dc.type (資料類型) | conference | |
| dc.identifier.doi (DOI) | 10.1109/AIoT66900.2025.00074 | |
| dc.doi.uri (DOI) | https://doi.org/10.1109/AIoT66900.2025.00074 | |
