Jin-man Cho

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

ABSTRACT This paper proposes a method of identifying ownership of person al information in Social Network Service. In detail, the proposed method automatically decides whether any location info rmation mentioned in twitter indicates the publisher’s residence area. Identifying ownership of personal information i s 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 experim ent using real twitter data, the proposed method shows better performance (f1-score: 0.876) than the conventional document cl assification models such as naive bayesian that uses n-gram as a feature set.Keywords: Big Data, Pricacy, Personal Information, Social Network Service, Location Information I.서 론 2013년 2월 한글 트위터(twitter)이용자 수는 약 600만 명으로 추정되며, 2012년 9월부터 올해 3월까지 한 달 평균 트윗 개수는 약 1억 5천만 개[1], 페이 접수일(2013년 7월 8일), 수정일(2013년 9월 9일), 게재확정일(2013년 9월 12일)†주저자, ksh4uu@etri.re.kr‡교신저자, sunchoi@etri.re.kr (Corresponding author)

Personal Information Exposure on Social Network Service

ABSTRACT This paper presents result of researching personal information exposure of Korean twitter and facebook users. Personally identifiable information such as e-mail and phone numer is expo sed in the accounts less than 1%. However there are many cases that a person is identified by non personally identifiabl e information. For example, 350 thousands accounts are distinguished with other accounts because its name is unique. U sing combination of information such as name and high school, we can distinguish 2.97 millions accounts. We also found 170 thousands account pairs that are candidate of one users’ own account. Linkability between two accounts in two different doma ins means that the person is identified. Currently, only personally identifiable information is protected by policy. Thi s paper shows that the policy has limited effects under the circumstances that a person can be identified by non personally identifiable information and the account linking is possible.Keywords: SNS, Pricacy, Personal Information, K-Anonymity, Re-identification