In English

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

Yang Yuan Jin
Göteborg : Chalmers tekniska högskola, 2010. 65 s.
[Examensarbete på avancerad nivå]

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.

Nyckelord: Personal Privacy, Social Networks, Parsing, Text Processing, Regular Expression, Python



Publikationen registrerades 2010-11-16. Den ändrades senast 2013-04-04

CPL ID: 129121

Detta är en tjänst från Chalmers bibliotek