DocumentCode :
2424812
Title :
A collaborative approach for identifying privacy disclosure in Web-based services
Author :
Gao, Feng ; He, Jingsha ; Ma, Shunan
Author_Institution :
Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China
fYear :
2010
fDate :
13-15 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
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.
Keywords :
Web services; Web sites; data privacy; groupware; unsolicited e-mail; Web applications; Web sites; Web-based services; collaborative approach; email addresses; privacy disclosure identification; privacy disclosure sites; secure multiparty computation; spam messages; Web-based services; collaboration; privacy disclosure; secure multiparty computation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
978-1-4244-9802-4
Type :
conf
DOI :
10.1109/SOCA.2010.5707176
Filename :
5707176
Link To Document :
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