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研究生:張永霖
研究生(外文):Yung-LinChang
論文名稱:運用人工智慧方法和群體洋蔥路由實現網路瀏覽隱私保護機制
論文名稱(外文):Privacy Protection with AI-based URL Classification and Group Onion Routing
指導教授:李忠憲李忠憲引用關係
指導教授(外文):Jung-Shian Li
學位類別:碩士
校院名稱:國立成功大學
系所名稱:電腦與通信工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:中文
論文頁數:43
中文關鍵詞:洋蔥路由匿名傳輸隱私機器學習網址分類
外文關鍵詞:TorAnonymous transmissionPrivacyMachine learningURL classification
相關次數:
  • 被引用被引用:0
  • 點閱點閱:267
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
洋蔥路由器(Tor)是以匿名通訊的方式在網路上進行,使用者利用Tor在網路上進行匿名交流,且不受地域限制。除此之外,利用Tor到達的網路空間是自然搜索所無法到達。但是為了保護使用者隱私而犧牲的傳輸時間,由多層資料加密解密和節點路徑選擇所佔據,使用者無法適當地選擇的當下對應的加密強度,使得機密隱私和無關重要的行為都是同樣的加密強度。本研究探討了洋蔥路由的加解密傳輸流程,提出一種不同加密強度的洋蔥路由,再利用機器學習對網址分類進行預測,提前分類別給予合適的傳輸加密強度。並且藉由自己提供節點來解決出口節點竊聽的問題,同時更彈性取有效的運用時間。
Wireless communication technology is fully developed, due to the rapid spread of tablet computers, smartphones, and other mobile information devices, together with the promotion and construction of telecommunication. Mobile Internet access has been a daily life for the general public. The Onion Router, better known as Tor, is a technique for anonymous communication over internet without regional restrictions. Apart from this, Tor can reach sites that normal search engine can’t search. Basically, the name of Tor is derived from its operation principle. Before original data reaching server, it has been encrypted layer by layer, just like onion. Our research proposed a system by using machine learning technique on URL in order to predict its category before visiting. According to the prediction, we serve three kinds of RSA key lengths on onion routing to represent different privacy level. Depending on various situations, it obtains the balance in security and in time cost. Giving flexibility to onion routing and make more good use of time.
摘要 I
ABSTRACT II
誌謝 XI
目錄 XII
表目錄 XIV
圖目錄 XV
第 一 章 緒論 1
1.1研究背景 1
1.2研究動機及目的 2
1.3研究貢獻 3
1.4章節規劃 3

第 二 章 研究背景與文獻探討 4
2.1洋蔥網路 4
2.1.1為什麼需要Tor 5
2.1.2 組成員件 6
2.1.3 洋蔥協定 7
2.2 THE SHADOW SIMULATOR 9
2.3 網頁分類 10

第 三 章 系統架構 13
3.1 環境假設 13
3.2 系統架構 14
3.2.1 彈性加密洋蔥路由 15
3.2.2 開放目錄專案 20
3.2.3 分類器 22
3.2.4 特徵選取 26

第 四 章 實驗效能評估 29
4.1 開發環境 29
4.2 效能分析 30
4.2.1 時間效能比較 30
4.2.2 評估指標 31
4.2.3 準確率比較 32

第 五 章 結論與未來工作 40
5.1 結論 40
5.2 未來工作 41

參考文獻 42
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[6]“VirusTotal [Online]. Available: https://www.virustotal.com/zh-tw/. [Accessed 2018/07/1].
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[10]Wikipedia, RSA (cryptosystem) [Online]. Available: https://en.wikipedia.org/wiki/RSA_(cryptosystem). [Accessed 2018/07/1].
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[20]Kan, M. Y., & Thi, H. O. N. (2005, October). Fast webpage classification using URL features. In Proceedings of the 14th ACM international conference on Information and knowledge management (pp. 325-326). ACM.
[21]Baykan, E., Henzinger, M., Marian, L., & Weber, I. (2009, April). Purely URL-based topic classification. In Proceedings of the 18th international conference on World wide web (pp. 1109-1110). ACM.
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