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 withthe location of the highschool, the current address, and the graduate year of highschool performs best for the inference, as thiscan infer 78% of users’ birthplaces correctly. Since the birthplace information is used for various security purpose such asquestions for getting the forgotten password and a part of korean residence registration number, this is a non-trival securitybreach and users need be cautious about it.
Through experiments with various machine learning algorithms and various parameters, we have found that SVM algorithm withthe location of the highschool, the current address, and the graduate year of highschool performs best for the inference, as thiscan infer 78% of users’ birthplaces correctly. Since the birthplace information is used for various security purpose such asquestions for getting the forgotten password and a part of korean residence registration number, this is a non-trival securitybreach and users need be cautious about it.
| Translated title of the contribution | Inference of birthplaces of users with public information in FaceBook |
|---|---|
| Original language | Korean |
| Pages (from-to) | 431-434 |
| Number of pages | 4 |
| Journal | 정보보호학회논문지 |
| Volume | 24 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2014 |