車聯網的發展引起了很大的關注，車聯網結合了車輛自組網和物聯網特性，在車聯網的環境中，車輛的機敏數據較容易洩漏，因此在身分鑑別的部分尤為重要，因此本研究為達成身分鑑別目的並降低消耗達成高效率的身分鑑別，所以將車聯網鑑別功能聚焦於邊緣節點，能夠迅速回應車輛請求，減輕雲端伺服器的負擔。但若想要達成此種情況，車聯網中的各個實體需要相互認證，因為潛在的攻擊可以冒充邊緣節點向車輛發送錯誤指令，或冒充合法車輛以獲得車聯網服務。
由於車輛的高機動性特點，車輛與邊緣節點之間需要進行頻繁的身分鑑別，因此我們希望認證過程能夠有效率地進行，以確保持續的服務。
在本文中，我們提出了應用於車聯網安全且高效的去中心化邊緣節點輔助身分鑑別協定，實現了車輛、邊緣節點和雲端節點之間的相互鑑別，初始鑑別雲端節點將鑑別結果群播至鄰近的邊緣節點，而邊緣節點接收雲端節點群播的鑑別結果來實現對車輛的認證，降低了密碼計算開銷，並且消除了網路傳輸延遲。
此外，在鑑別過程中交換了任意兩個實體之間的會話密鑰，可以保護車輛的敏感數據不被好奇的邊緣節點窺探，最後進行實驗以證明安全性和效率性。

The development of the Internet of Vehicles (IoV) has attracted significant attention, as it combines the characteristics of Vehicular Ad-hoc Networks (VANET) and the Internet of Things (IoT). Within the IoV environment, the sensitive data of vehicles can be easily exposed, making identity authentication especially crucial. This research aims to achieve efficient authentication, reduce consumption, and alleviate the burden on cloud servers by focusing the IoV authentication function on edge nodes, which can quickly respond to vehicle requests. However, to achieve this, all entities within the IoV need to authenticate each other, as potential attackers can impersonate edge nodes to send erroneous commands to vehicles, or pose as legitimate vehicles to access IoV services.
Due to the high mobility characteristic of vehicles, frequent identity authentication between vehicles and edge nodes is necessary. Therefore, we hope that the authentication process can be conducted efficiently to ensure continuous service.
In this thesis, we propose a decentralized, edge node-assisted authentication protocol for the IoV, achieving mutual authentication among vehicles, edge nodes, and cloud nodes. During the initial authentication, cloud nodes broadcast the authentication results to nearby edge nodes, and these edge nodes authenticate vehicles based on the received broadcast results. This process reduces the computational overhead and eliminates network transmission delays.
Furthermore, during the authentication process, session keys are exchanged between any two entities, protecting the sensitive data of vehicles from being scrutinized by curious edge nodes. Finally, experiments are conducted to prove the safety and efficiency of the proposed protocol.

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