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研究生: 鍾怡傑
Yi-Chieh Chung
論文名稱: PrivCat:Private Protector of Facebook Users
指導教授: 許富皓
口試委員:
學位類別: 碩士
Master
系所名稱: 資訊電機學院 - 資訊工程學系
Department of Computer Science & Information Engineering
論文出版年: 2014
畢業學年度: 102
語文別: 英文
論文頁數: 43
中文關鍵詞: 社群網路追蹤隱私
外文關鍵詞: social networking service
相關次數: 點閱:12下載:0
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  • 現今許多的網站都有嵌入social plugins,像是Facebook的讚和Google +1按鈕。使用者可以透過social plugins與網站互動,網站利用social plugins提高網站的曝光率。然而,不論使用者是否有使用social plugins,只要曾瀏覽過的網頁都會被追蹤,大部分的使用者並不知道這件事,因此社群網站會追蹤使用者的隱私。

    我們的論文發展一種新的方法,主要針對Facebook social plugins,當使用者瀏覽網頁時,我們的方法會防止social plugins送出隱私資訊,更進一步,讓social plugins無法辨識使用者的資訊,因此我們的方法能夠保護使用者上網的隱私,且不會影響使用者體驗,使用者依然可以正常看到social plugins在網頁上,且可以有效防止使用者被Facebook追蹤,我們實作在Chrome瀏覽器的套件,稱”PrivCat”。


    Nowadays, numerous websites embed the social plugins, such as Facebook Like button and Google “+1” button. Users interact with the websites by using social plugins. Websites utilize social plugins to improve the exposure. However, whether users trigger the social plugins or not, all web pages which they visited are tracked by social networking service. Hence, social networking service causes the user privacy issues. However, most of the users know nothing about this.

    We develop a novel method for solving privacy issues on Facebook social plugins. When user browses a webpage with Facebook social plugins, our method prevents social plugins from sending information about the user privacy. Furthermore, the method enables social plugins not to identify the information of the user. Therefore, our method protects Internet user privacy. The advantage of our method is that it does not affect the user experience by which the user can still see the social plugins on the webpage. In addition, our method can effectively prevent the user from being tracked by Facebook. We implemented our methods on Chrome browser platform, called “PrivCat”.

    摘要 Abstract 誌謝 Contents List of Figures List of Tables Chapter 1 Introduction Chapter 2 Background 2.1 Facebook Social Plugins 2.2 Facebook Handle Social Plugins 2.3 Privacy Risks of Facebook Like Button Chapter 3 Related Work 3.1 Preventing Privacy Leaks 3.2 Preventing Tools Chapter 4 System Design 4.1 Method 4.2 Components of PrivCat System 4.3 Protection Scenario of PrivCat System Chapter 5 Evaluation 5.1 Testing Environment 5.2 Experimental Result 5.2.1 Performance 5.2.2 Effectiveness Chapter 6 Discussion Chapter 7 Conclusion and Future Work References

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