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Third-party Web tracking is a serious privacy issue. Advertisement sites and social networking sites stealthily collect users' Web browsing history for purposes such as targeted advertising or predicting trends. Unfortunately, very few Internet users realize this, and their privacy has been infringed upon because they have no means of recognizing the situation. In this paper we present the design and implementation of a system called MindYourPrivacy that visualizes third-party Web tracking and clarifies the entities threatening users' privacy. The implementation adopts deep packet inspection, DNS-SOA-record-based categorization, and HTTP-referred graphical analysis to visualize collectors of Web browsing histories without device dependency. To demonstrate the effectiveness of our proof-of-concept implementation, we conducted an experiment in an IT technology camp, where 129 attendees discussed IT …