智慧電網為先進的電力網路系統，兼具自動化及資訊化的優點，主要為整合發電、輸電、配電給用戶的先進電網系統，同時也具備自我檢視、診斷及修復等功能。然而，智慧電網使用大量的網路資訊技術進行資料傳輸，為防止在收集或分享數據時可能遭受網路攻擊，如何採取數據安全機密性(Confidentiality)、完整性(Integrity)、可用性(Availability)的預防措施，成為建構智慧電網的重要議題。
傳統電力所使用的資訊系統存在無法實現資源和數據共享，而雲服務(Cloud Service)在公共基礎設施能夠解決數據應用共享的問題。但是，用雲服務的架構來管理智慧電網中的傳感器數據，會對數據安全性和消費者隱私構成重大風險。
為了解決這些安全和隱私問題，又因數據和資源的即時聚合計算是智慧電網中的重要功能。因此，同態加密(Homeomorphic Encryption)演算法就被運用在即時的聚合計算，並同時解決機敏資料的安全和隱私問題。
因此本論文將結合雲服務系統，使用Paillier Cryptosystem將資料進行加解密來確保資料安全性，本論文將利用Pallier隨機整數r結合數位指紋與身份驗證的機制設計一套，電力監控仿真系統。最後，由透過實際設計驗證實驗，進行資訊安全的測試與實驗結果，驗證此系統在實際電力監控與分配上，除了解決資源共享、機敏資料隱私問題，也具備智慧電網在資訊安全機密性、完整性與不可否認性特點。

This thesis proposes a secure smart gird power monitoring simulation system (SSGPMSS) that mainly uses cloud platform as the monitoring platform to solve the problem of sharing monitoring resources (data) and increase the security and stability of the cyber physical system. We apply the characteristics of data aggregation of the homomorphic Paillier cipher with random variables to solve the privacy problem of sensitive data. We also use the non-repudiation function of digital signature to enhance the security and accuracy of data transmission to achieve real-time power load distribution and control feedback simulation system. Finally, through the verification of numerical value and hacker attack modes, the designed system has high information security and feasibility in practical applications.

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