A Private Information Detector for Controlling Circulation of Private Information through Social Networks

A "private information detector (PID)" is described that helps control the circulation of a user's private information through a social network. It checks texts to be posted by the user on a social network and detects potential revelations of private information so that it warns the user or modifies the texts automatically. It can cope with a wide variety of expressions that might be revealing by using public information accessible through the Internet rather than a large knowledge base. Evaluation using about 7000 blog sentences showed that it has reasonably good performance in terms of true and false detection rates.

[1]  Oliver Günther,et al.  Privacy Design in Online Social Networks: Learning from Privacy Breaches and Community Feedback , 2008, ICIS.

[2]  Matthias Häsel,et al.  Security in OpenSocial-Instrumented Social Networking Services , 2010, Communications and Multimedia Security.

[3]  Alessandro Acquisti,et al.  Information revelation and privacy in online social networks , 2005, WPES '05.

[4]  Amanda Spink,et al.  Real life, real users, and real needs: a study and analysis of user queries on the web , 2000, Inf. Process. Manag..

[5]  Nicholas Christakis,et al.  The Taste for Privacy: An Analysis of College Student Privacy Settings in an Online Social Network , 2008, J. Comput. Mediat. Commun..

[6]  Efstathios Stamatatos,et al.  Author identification: Using text sampling to handle the class imbalance problem , 2008, Inf. Process. Manag..

[7]  Taku Kudo,et al.  MeCab : Yet Another Part-of-Speech and Morphological Analyzer , 2005 .

[8]  Rob Johnson,et al.  Usable Privacy Controls for Blogs , 2009, 2009 International Conference on Computational Science and Engineering.

[9]  Fernanda B. Viégas,et al.  Bloggers' Expectations of Privacy and Accountability: An Initial Survey , 2006, J. Comput. Mediat. Commun..

[10]  Rob Johnson,et al.  More Content - Less Control: Access Control in the Web 2.0 , 2006 .

[11]  Jasmine Novak,et al.  Anti-aliasing on the web , 2004, WWW '04.

[12]  E. Michael Maximilien,et al.  Privacy-asa-Service : Models , Algorithms , and Results on the Facebook Platform , 2009 .

[13]  Kuan-Ta Chen,et al.  Involuntary Information Leakage in Social Network Services , 2008, IWSEC.

[14]  Stefan Berthold,et al.  Linkability estimation between subjects and message contents using formal concepts , 2007, DIM '07.

[15]  Patrick Gage Kelley,et al.  IWantPrivacy : Widespread Violation of Privacy Settings in the Twitter Social Network , 2010 .

[16]  Atsushi Kanai,et al.  The Metric Model for Personal Information Disclosure , 2010, 2010 Fourth International Conference on Digital Society.

[17]  Vitaly Shmatikov,et al.  De-anonymizing Social Networks , 2009, 2009 30th IEEE Symposium on Security and Privacy.

[18]  Isao Echizen,et al.  New Approach to Quantification of Privacy on Social Network Sites , 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

[19]  Jon M. Kleinberg,et al.  Wherefore art thou R3579X? , 2011, Commun. ACM.