近年來物聯網裝置逐漸普及與人工智慧技術的發展，兩者結合而成的智慧物聯網(AIoT)也開始被廣泛的討論。物聯網裝置透過感測器從環境進行感測，將收集的資料儲存於晶片外記憶體中，再利用邊緣運算進行機器學習的推論，最後將結果回傳至伺服器端。隨著智慧物聯網的發展，裝置的安全與隱私將和人身、公共安全息息相關。為了確保科技的進步不會成為攻擊者侵害權益的手段，因此需要針對物聯網裝置的硬體安全機制進行研究與探討。
本論文提出一個針對晶片外記憶體進行保護之使用物理不可複製函數為基礎的安全微系統，此微系統以應用於物聯網裝置為發想設計，並於微系統中提出針對晶片外記憶體之保護與隱藏延遲之機制。此平台包含安全模組，透過安全模組與物理不可複製函數(PUF)提供之金鑰來進行保護機制。

In recent years, Internet of Things (IoT) devices become popular and artificial intelligence (AI) technology is developing rapidly. As a result, the combination of these two technologies called artificial intelligence of things (AIoT) is being widely discussed. IoT devices use sensors to sense from the environment and store the collected data in off-chip memory. The devices then use edge computing to do machine learning inference and return the results back to the server. With the development of the smart IoT, the security and privacy of devices are relevant to personal and public safety. As a result, hardware security mechanisms for IoT devices becomes more important than ever before.

In this work, we propose a secure microsystem based on PUF with off-chip memory protection. Furthermore, we propose a mechanism that can effectively hide the latency caused by protection calculations while ensuring security. The platform includes a security module and provides protection through the security module and the key provided by the PUF.

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