臺灣博碩士論文加值系統

本文提出了一種經由基於信任管理（TM, trust management）方案結合區塊鏈（BC, block chain）來實現物聯網（IoT, internet of thing）精確運行的機制。儘管在現實世界中已廣泛掌握了IoT的實現和應用，但目前存在很多解決可信賴性的問題。因此，與物聯網應用層相關的大量安全問題迫在眉睫。因此，對於解決安全算法的發展至關重要的是，避免物聯網系統遭受惡意攻擊。除此之外，還演示了通過提供有毒化學品的流程工作而實施的實際工作項目。在選擇性合成(selective combining, SC)階段，首先根據與信息估計加權的信任值提取的指定參數融合控制信息，然後再從TM中提取指定參數，再從SC生成所擷取的融合信息轉發到區塊鏈BC，以計算最終訊息的信任值。物聯網技術將提供何種程度的熵(entropy)，稱為信息質量(quality of information, QoI)，取決於絕對的信任值，該信任值來自上述步驟。通過實際物理評估的實驗部署之仿真結果表明，將SC和BC方案融合到TM程序中後，具有更高的安全性與可靠性。此外，將SC與BC方法融合用於TM的機制可以提高IoT系統之效率，並解決物聯網上應用層的安全性問題。相對而言，此種演算法是會帶來某些不可預期的懲罰因素，諸如請求者分組容量以及IoT的性能數據速率之類的QoI程度之降低。最終，在部署中顯示了一個真實世界的應用程序，該應用程序嵌入了BC，以提高IoT上TM方案的QoI效能。經由仿真結果得知，當未曾有SC與BC結合之前與之後，QoI大約的都低於0.5，當應用SC與B C結合之後，整個系統的QoI的效益可以比未曾加入SC與B C的效益提升，此項結果，證實了理論分析的準確性和所提出模型的有效性。

Though the implementation and application to the IoT (internet of things) have widely grasped in the real world, it exists much of the issue addressing the trustworthiness currently. Therefore, there are huge of security issues relevant to the application layer of IoT becoming urgent for solving. Accordingly, it is critical for addressing the development of security algorithm to avoid the IoT system suffers from malicious attack. There is a Mechanism for exact operations of IoT based on TM (trust management) scheme by integration of BC (block-chain) and SC (selection combining) proposed in the article. Apart from, a real project implemented by providing the flow work for the toxicant chemical is demonstrated. In SC stage, specified parameters first extracted according to the trust value weighted by an estimation value before fused with the control information come from the TM. The fused information generated from SC passed forward to the BC in order to calculate the final trust value. What degree of the entropy, referred as QoI (quality of information), will provide with IoT technologies is definitely dependent on the trust value comes from the previously mentioned steps. The simulation results from experiments deployed with physical assessment show that the security has more reliability after the SC and BC schemes fused together into the TM procedure. Furthermore, the mechanism fusing SC with BC methods for TM can enhance the efficiency and solve the security problem of application layer over IoT. Alternatively, the reducing in QoI degree, such as the packet capacity for the requester as well as data rate of performance for the IoT are the penalty factors. Eventually, there is a real world application shown up the deployment where embeds the SC+BC to increase the QoI of TM scheme over IoT.

中文摘要............iii
ABSTRACT............v
誌謝............vi
目錄............vii
表目錄............x
第一章 緒論............1
1.1緣由............1
1.2研究動機與目的............3
1.3論文結構與說明............5
第二章 物聯網(IoT)與選擇合成(SC)背景技術............8
2.1研究背景............8
2.2論文之研究貢獻分析............10
2.3物聯網及其安全性概述............10
2.4物聯網安全的可信計算之基本介紹............12
2.5分集技術的原理及種類............14
2.6合成技術的原理及種類............15
第三章 信任管理(TM)與區塊鏈(BC)技術............20
3.1信任管理技術分析............20
3.2信任管理協議於健康物聯網系統[32]............25
3.3區塊鏈技術基礎............28
3.4區塊鏈應用層面............32
第四章 基於IoT架構結合SC與區塊鏈技術............35
4.1 IoT中帶區塊鏈(BC)的信任管理(TM)融合演算法............35
4.2將BC嵌入TM的建構過程............39
4.3請求訪問的控制策略............44
第五章 IoT中BC嵌入TM的系統模擬與應用分析............46
5.1. BC嵌入TM的系統模擬............46
5.2實用案例之實現分析............50
5.3實用案例之QoI分析............52
5.4案例之討論與結果............54
第六章 結論與未來研究建議............55
參考文獻............57

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