A Method of Identifying Ownership of Personal Information exposed in Social Network Service

Vol. 23, No. 6, pp. 1103-1110, Dec. 2013
10.13089/JKIISC.2013.23.6.1103, Full Text:
Keywords: Big data, Pricacy, Personal Information, social network service, Location Information
Abstract

This paper proposes a method of identifying ownership of personal information in Social Network Service. In detail, the proposed method automatically decides whether any location information mentioned in twitter indicates the publisher's residence area. Identifying ownership of personal information is necessary part of evaluating risk of opened personal information online. The proposed method uses a set of decision rules that considers 13 features that are lexicographic and syntactic characteristics of the tweet sentences. In an experiment using real twitter data, the proposed method shows better performance (f1-score: 0.876) than the conventional document classification models such as naive bayesian that uses n-gram as a feature set.

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Cite this article
[IEEE Style]
S. Kim, J. Cho, S. Jin, D. Choi, "A Method of Identifying Ownership of Personal Information exposed in Social Network Service," Journal of The Korea Institute of Information Security and Cryptology, vol. 23, no. 6, pp. 1103-1110, 2013. DOI: 10.13089/JKIISC.2013.23.6.1103.

[ACM Style]
Seok-Hyun Kim, Jin-Man Cho, Seung-Hun Jin, and Dae-Seon Choi. 2013. A Method of Identifying Ownership of Personal Information exposed in Social Network Service. Journal of The Korea Institute of Information Security and Cryptology, 23, 6, (2013), 1103-1110. DOI: 10.13089/JKIISC.2013.23.6.1103.