| Abstract: | 從第一台汽車的出現至今為止，汽車的歷史已達百年以上。配合電腦軟硬體設備的提升，汽車的躍進發展成了自動化、智能化汽車、信 息娛樂和遠程信息處理的階段。電腦協助執行眾多新功能的同時，使現在的人們享受著更為方便的駕駛環境。
近年車聯網（ Internet of Vehicles）的興起，使具有網路功能的車輛，從原本基礎的交通運輸功能，搖身成了結合通訊、娛樂與生活的行動總部。駕駛僅須在車內便能透過資訊平台隨時掌握車輛所有資訊，其中資訊平台包含了多樣的服務，例如：高速公路車載流量平台、車載娛樂系統平台、車內資訊平台。然而通訊技術的成熟，卻也留下了網路威脅的伏筆。若 網路駭客遠端操控車輛，甚至駭入系統，同時操作多台車輛，
竊取企業機密或駕駛資 訊，危害將遠遠大於你我想像。 因此為了保護汽車駕駛人及車載相關資料的隱私，如何利用相關的技術保護車載網路不受到惡意駭客入侵和竊取車載資訊，變得極其重要。
本研究將以資通業者的角度，運用新穎的區塊鏈技術以解決資訊安全問題的風險。本研究以 智能 汽 車為主設計的整合資訊平台為例。藉由統一塑模語言（ Unified Modeling Language, UML），使平台的開發達成具體化、視覺化及文件化的效果。並透過流程的結果建立設計結構矩陣（ Design Structure Matrix, DSM），利用矩陣和圖形的方法來 呈現各平台的關聯性。藉此了解平台之間的獨立性、相依性與交互耦合性之關聯屬性以利 設計出一套兼具安全與便利的平台，達成 智能汽 車資訊及駕駛資料保護的目標。;With the rise of the Internet of Vehicles in recent years, vehicles with network functions have transformed from their original basic transportation functions into a mobile headquarters that combines communications, entertainment, and life. Drivers only need to be in the car to grasp all the information of the vehicle at any time through the information platform, which contains a variety of services. However, the maturity of communication technology has also left behind the foreshadowing of cyber threats. If a cyber hacker remotely controls a vehicle, or even hacks into the system, and operates multiple vehicles at the same time to steal corporate secrets or driving information, the harm will be far greater than you or I imagined. Therefore, in order to protect the privacy of car drivers and car-related data, how to use relevant technologies to protect the car network from malicious hackers and steal car information becomes extremely important.
This research will use novel blockchain technology to solve the risks of information security issues from the perspective of information providers. This research takes as an example an integrated information platform designed mainly for smart cars. By unifying the modeling language, the development of the platform can achieve the effects of concrete, visual, and documented. And through the results of the process, the design structure matrix is established, and the matrix and graphics are used to show the relevance of each platform. In this way, we can understand the related attributes of the independence, interdependence, and interaction coupling between platforms to facilitate the design of a safe and convenient platform to achieve the goal of intelligent vehicle information and driving data protection. |
