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2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD) (2018)
Yonago, Japan
Jul 12, 2018 to Jul 13, 2018
ISBN: 978-1-5386-5605-1
pp: 85-90
ABSTRACT
According to the spread of the Twitter service, spoofing accounts of famous people (i.e., a malicious user makes an account to pretend famous people) are increasing. To prevent such spoofing, Twitter, Inc. provides verified accounts that are guaranteed as genuine accounts of themselves by Twitter, Inc. However, not all famous people use the verified accounts. Instead of that, famous people sometimes embed the link of their twitter accounts on their official website. But their Twitter accounts are not always embedded on that. So, it is not always easy to distinguish whether the accounts are genuine or spoofing. To identify spoofing Twitter accounts, we propose a new discrimination method focusing on the following functions. The basic idea of the method is based on the PageRank citation ranking. An important assumption of our method is that famous people accounts often have many followers, but not have many follows. In the experiment, we applied our method to 27 genuine accounts and 37 spoofing accounts. As a result, 96% of genuine accounts and 75% of spoofing accounts are identified correctly.
INDEX TERMS
social networking (online),
CITATION

K. Nakasai, M. Tsunoda, H. Hata and K. Matsumoto, "Identifying Spoofing Accounts on Twitter Based on Relationships of Accounts," 2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD), Yonago, Japan, 2018, pp. 85-90.
doi:10.1109/BCD2018.2018.00021
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