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Data mining as a means to protect privacy in social networks

From: Langendörfer Peter <langendoerfer@ihp-microelectronics.com>
Date: Fri, 9 Mar 2012 09:18:59 +0100
To: "public-tracking@w3.org (public-tracking@w3.org)" <public-tracking@w3.org>
CC: "public-privacy (W3C mailing list)" <public-privacy@w3.org>, "Bianca Boeckelmann (boeckbia@TU-Cottbus.De)" <boeckbia@TU-Cottbus.De>
Message-ID: <F42C9ABCFF25E04CA89C6A153EDEF74304DFD1BC1F@W2K8EX01.w2k.ihp-ffo.de>
Dear all,

I am currently supervising a Master thesis which researches which private attribute of individuals  can be deduced from their social network. The ultimate goal is to create a tool that predicts such attribute before entering additional data into the social network.

In order to get a solid base for experiments we are currently gathering data via Facebook. My student Bianca (cc) has developed the application "Hidden Profile". You find the application after a successful login to Facebook by clicking on the following link:

https://apps.facebook.com/hidden_profile/

Please support her research and find out for yourself what information your friends can indirectly reveal about you.

The time needed  is minimal. All data are treated anonymously and confidentially. A detailed description of the privacy policy followed  is given there as well.

If you have any question please do not hesitate and contact me or Bianca.

Thank you in advance,

Peter



________________________________________

Prof. Dr. Peter Langendörfer
Team Leader
System Design
IHP

Fon: +49 (335) 5625-350
Fax: +49 (335) 5625-671
Mobile: +49 (173) 2098973
E-Mail: langendoerfer@ihp-microelectronics.com
Website: <http://www.ihp-microelectronics.com/>
________________________________________

IHP GmbH
Innovations for High Performance Microelectronics
Leibniz-Institut fuer innovative Mikroelektronik
Im Technologiepark 25
15236 Frankfurt (Oder)
Germany

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Received on Friday, 9 March 2012 08:19:26 GMT

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