Personal Information Revelation and Privacy Mining - A Practice of Swedish Online Privacy Harvest

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/129121
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Type: Examensarbete för masterexamen
Master Thesis
Title: Personal Information Revelation and Privacy Mining - A Practice of Swedish Online Privacy Harvest
Authors: Yuan Jin, Yang
Abstract: With the rapid development of social networking and micro blogging service, large quantities of users are uploading their personal information via website, social network application, or external application to establish the social connections with each other. However, it directly enables the personal information transparent to the persons who may abuse the information. The purpose of this thesis is to provide a comprehensive research on perceived privacy and security concerns associated with online personal information in Sweden. The thesis analyzes and investigates the privacy concerns on the basis of the social networks and various kinds of search engines and thereby reaches one kind of effective searching logic. This logic has been realized on an interface implemented by Python, JavaScript, HTML and social network API. The practical running and theoretic analyses prove that the logic of disclosing the personal information is effective and the information fetched by interface can be reliable in most of cases. The limitation of the interface is explained in detail and the thesis also provides the possible solutions to them in future work. From the practical investigation, we can conclude that, there are many risks of leakage of personal information in social networks and other online service even though the users indeed enjoy and benefit a lot from them. Admittedly, there should never be a compromise between individual privacy and potential security.
Keywords: Information Technology;Informationsteknik
Issue Date: 2010
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/129121
Collection:Examensarbeten för masterexamen // Master Theses



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