臺灣博碩士論文加值系統

智慧型移動設備從2007年的第一代iPhone開始，智慧型手機的崛起便大大的改變了行動網路的生態，十多年前我們很難想像能用「手機」上網，因為當時的手機除了只有小小黑黑不吸引人的畫面以外，烏龜般的速度及昂貴的資料傳輸費率，讓人們對手機上網這件事情敬而遠之，僅有少數的高端人士會需要以移動設備裝置來使用資料傳輸，進行收發電子郵件等商務用途。
然而現在隨著通訊技術的演進，從2G(GPRS/EAGE) 3G UMTS 及4GLTE資料上下行演進，位使用智慧型手機、平板電腦或是沒有申辦行動上網業務的人，反而成了這時代裡特別的一群。短短不到十年的光景，行動通訊的演進與功能遠遠超乎人們想像。
近年來智慧型行動設備包含智慧型手機、平板電腦、智慧型手表等等,已經成為趨勢主流，而這些先進的科技產品一方面廣泛運用於正規商業之外，另一方面也使得犯罪者利用智慧型行動裝置的多樣化和軟體應用的便利性，行犯罪之事實，並造成許多國家安全上的問題。
本研究主要是就智慧型行動設備之類型，數位鑑識流程及行動鑑識工具提取犯罪嫌疑人雲端統計及蒐集資料，然後運用大數據資料(Big Data)分析應用數位鑑識分析統計提取，海量倉儲分析犯罪模式，萃取犯罪情資和犯罪組織，進而做為數位鑑識商業模式(雲端共享資料經濟模式)

Ever since the release of the first iPhone in 2007, the rise of smart mobile devices has dramatically reconstructed the sphere of mobile network. Ten years ago, we could hardly imagine using phones to connect to the internet. In addition to a small unattractive screen display, phones at the time were accompanied by slow connection speed and expensive data transfer cost, which discourages the majority from using phone as a medium for internet connection. Rather, only a handful of high-end people required the use of mobile devices to perform data transmission, to send, and to receive email for business purposes.
In less than a decade, mobile communication technology had surpassed people’s imagination. As communication technology moves forward from 2G (GPRS/EDGE) to 3G UMTS to 4GLTE, people who do not subscribe to wireless mobile internet services nowadays have shifted to become the minority group. In recent years, the incorporation of smart mobile devices such as smart phones, tablets, smart watches, etc. in daily lives has enabled criminals to commit crime through the utilization of smart mobile device’s wide range software applications, posing major security issues in many countries.
This study utilizes smart mobile equipment, digital forensic procedures, mobile forensic tools to extract and gather criminal suspect information onto the cloud. Then, Big Data analysis can be applied to digital forensic analysis data extraction, mass storage data analysis of criminal patterns, and extraction of criminal intelligence as a digital forensic business module (Economic Model of Cloud Data Sharing).

摘要 i
目錄 vi
表目錄 viii
圖目錄 ix
第一章 緒論 1
1.1研究背景與動機 1
1.2研究目的 2
1.3研究流程與架構 3
第二章 文獻探討 5
2.1數位證據 5
2.1.1數位證據之意義 5
2.1.2數位證據之特性 6
2.2運用大數據平台 8
2.2.1大數據定義 8
2.2.2大數據相關研究 9
2.2.3大數據相關犯罪研究 12
2.3商業模式 14
2.3.1商業模式定義 14
2.3.2商業模式構面 17
2.3.3商業模式之應用 20
第三章 研究方法 24
3.1研究方法 24
3.2研究流程 27
第四章 研究工具介紹數位及鑑識設備偵查應用與實際案例探討 30
4.1行動裝置系統簡介 30
4.1.1取證 (Extraction). 智慧型手機作業系統有 30
4.1.2解碼( Decoding) 30
4.1.3分析( Analysis) 31
4.1.4報告( Report) 31
4.2研究工具介紹 33
4.2.1移動設備邏輯取證( Logical Extraction of Mobile Data) 33
4.2.2移動資料的檔案系統提取(File System Extraction of Mobile Data) 34
4.2.3移動設備物理取證( Physical Extraction of Mobile Data) 35
4.2.4移動資料解碼(Decoding of Mobile Data) 36
4.2.5移動資料分析和報告 37
4.2.6雲端分析平台 38
4.2.7大數據資料分析平台技術簡介 40
4.3實際案例探討 44
4.3.1國際刑警組織數字犯罪中心(新加坡) 44
4.3.2節省時間，改善調查 46
4.3.3數位鑑識工具解決方案作為華盛頓塔科馬警察局移動取證案例 46
4.4數位鑑識統一取證平台商業模式 48
第五章 結論與建議 53
5.1結論 53
5.2對實務界的建議 53
5.3研究限制 54
參考文獻 56

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