臺灣博碩士論文加值系統

網路平臺日益發展快速，各項平臺運作過程中，出現的危機各有不同，若要對此類網絡延伸訊息運算分析，必須借助於分析系統以及伺服器記錄輔助，即時確認異常數據的產生，本研究核心為運用ELK作為工具，建置一個分析系統安全與提供資料視覺化的一個平台，以雲端租屋生活網為案例，從其系統中獲取日誌資料、資料庫資料和使用者操作習慣當中分析其對於系統之安全影響。
而藉由ELK分析系統，研究將日常伺服器收錄日誌轉為視覺化，進而協助管理者自數據中，修正系統產生之及時問題，重新將系統低下狀況改善，提升雲端租屋網之運作效能。
本論文將使用VMware vSphere虛擬化軟體，在虛擬化環境下建置ELK分析系統，並規劃伺服器與儲存設備的網路架構，使用虛擬機器來提升運算分析之效能，分析使用者操作雲端租屋生活網所產生的資安問題並加以改善。

Network platforms are developing rapidly, and the crises that arise during the operation of various platforms are different. To calculate and analyze such network extension messages, it is necessary to use the analysis system and server recording assistance to confirm the occurrence of abnormal data in real time. The core of this research is to use ELK as a tool to build a platform for analyzing system security and providing data visualization. Taking the cloud rental life network as a case, it obtains log data, database data and user operating habits from its system Analyze its impact on system security.
With the ELK analysis system, the research has turned the logs collected by the daily server into a visualization, and then assists the administrator to correct the timely problems generated by the system from the data, re-improve the system's low condition, and improve the operational efficiency of the cloud rental network.
This paper will use VMware vSphere virtualization software to build an ELK analysis system in a virtualized environment, plan the network architecture of servers and storage devices, use virtual machines to improve the performance of computing analysis, and analyze how users operate cloud rental houses. Information security issues arising from the life network and improve them.

摘要......i
Abstract......ii
誌謝......iii
目錄......iv
表目錄......v
圖目錄......vi
第一章 簡介......1
1.1 研究背景與動機......1
1.2 研究目的......1
1.3 論文架構......1
第二章 文獻探討......2
2.1 ELK......2
2.2 ELK實際運用案例......4
2.3 雲端租屋生活網......5
第三章 研究方法......7
3.1 系統架構......7
3.2 運作模式......9
第四章 監護系統建置實作......10
4.1 硬體環境......10
4.2 收集器建置......12
4.3 監護系統......14
4.4 實作......17
4.5 風險評估......28
第五章 結論與未來展望......31
5.1 研究結論......31
參考文獻......32
Extended Abstract......33

[1]曹萍,2016, “ELK架構和Filebeat工作原理詳解”,
https://developer.ibm.com/zh/articles/os-cn-elk-filebeat/
[2]Marcin Bajer, 2017, “Building an IoT Data Hub with Elasticsearch, Logstash and Kiban”, 2017 5th International Conference on Future Internet of Things and Cloud Workshops
[3]Sameer Dharur and K Swaminathan, 2018, “Efficient surveillance and monitoring using the ELK stack for IoT powered Smart Buildings”, Proceedings of the Second International Conference on Inventive Systems and Control (ICISC 2018)
[4]Janik Schüssler and Denis Karbstein and Dennis Klein and Alfred Zimmermann, “Visualizing Information for Enterprise Architecture Design Decisions using Elastic Stack”
[5]ITREAD01, “Logstash簡單介紹”, https://www.itread01.com/content/1544331007.html
[6]HTTP傳輸協定, https://zh.wikipedia.org/wiki/%E8%B6%85%E6%96%87%E6%9C%AC%E4%BC%A0%E8%BE%93%E5%8D%8F%E8%AE%AE