A collaborative approach for identifying privacy disclosure in Web-based services
Feng Gao, Jingsha He, Shunan Ma · 2010
Nowadays, abundance of Web applications offers flexible and convenient services for users. Although almost all Web sites have their own privacy policies and declare that they won't disclose users' privacy without their consent, users may still receive spam messages after they register or interact with some sites. Obviously, commercial interests can drive some sites to disclose users' privacy such as email addresses to third parties. In this paper, we propose a collaborative method to identify Web sites that disclose users' privacy by using a privacy disclosure finding protocol inspired from secure multiparty computation (SMC). The advantages of our method are that the method can identify privacy disclosure sites while preserving volunteers' privacy and that the method uses a collaborative approach without relying on a trusted third party which makes it practical in the reality of Web based services.