PrivCat:Private Protector of Facebook Users

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > Electronic Thesis & Dissertation > Item 987654321/65692

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/65692

Title:	PrivCat:Private Protector of Facebook Users
Authors:	鍾怡傑;Chung,Yi-Chieh
Contributors:	資訊工程學系
Keywords:	社群網路;追蹤;隱私;social networking service;trace;track;privacy
Date:	2014-07-29
Issue Date:	2014-10-15 17:08:22 (UTC+8)
Publisher:	國立中央大學
Abstract:	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”.
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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