隨著穿戴式裝置和物聯網科技的發展，較小型的裝置常因體積與硬體資源的侷限，在遇到大量的運算任務時面臨困難。另一方面，若以雲端或邊緣運算的方案解決複雜運算的問題，使用者運算資料的機密性將成為一大挑戰。
在此背景下，本研究提出一種基於同態加密的邊緣運算服務架構，以此提高運算效率並能夠確保使用者資料的機密性。在架構中使用者能夠透過邊緣節點發現機制找到距離較近的邊緣節點，邊緣節點能夠基於同態加密為使用者進行運算服務，確保資料在傳輸和運算的過程中保持加密狀態，能夠有效的達成對資料機密性的保護。同時，此架構整合了區塊鏈技術的支付機制，藉此激勵邊緣節點的運算提供者能夠提供更穩定且安全的服務。最後，作為概念驗證，實現了一個可見的浮水印的運算服務作為實驗。以這個實驗證明該架構的可行性和效能。展示該架構能夠透過同態運算安全的處理浮水印任務，同時維護資料機密性。

With the advancement of wearable devices and IoT technology, related applications have flourished, creating challenges for smaller devices with limited size and hardware resources to handle large-scale computational tasks. On the other hand, when complex computational problems are solved using cloud or edge computing solutions, ensuring the confidentiality of users' computational data becomes a major challenge.
In this context, this study proposes an edge computing service architecture with homomorphic encryption to improve computational efficiency and ensure data confidentiality. In this architecture, users can locate nearby edge nodes through the edge node discovery mechanism. These edge nodes can provide computing services to users based on homomorphic encryption, ensuring that data remains encrypted during transmission and computation, protecting data confidentiality. At the same time, this architecture integrates the payment mechanism of blockchain technology, which encourages edge computing providers to provide more stable and secure services. As a proof of concept, a visible watermark computation service has been implemented as an experiment. This experiment demonstrates the feasibility and performance of the proposed architecture. It demonstrates that the architecture is capable of securely processing watermarking tasks via homomorphic computation while maintaining the confidentiality of the data.

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