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http://dx.doi.org/10.13089/JKIISC.2014.24.2.431

Inference of birthplaces of users with public information in FaceBook  

Choi, Daeseon (Electronics and Telecommunications Research Institute)
Lee, Younho (SeoulTech)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.24, no.2, 2014 , pp. 431-434 More about this Journal
Abstract
This paper shows the users' birthplace information can be inferred with only the public information in FaceBook SNS. Through experiments with various machine learning algorithms and various parameters, we have found that SVM algorithm with the location of the highschool, the current address, and the graduate year of highschool performs best for the inference, as this can infer 78% of users' birthplaces correctly. Since the birthplace information is used for various security purpose such as questions for getting the forgotten password and a part of korean residence registration number, this is a non-trival security breach and users need be cautious about it.
Keywords
SNS; Privacy; Personal information; Data inference; Security;
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