What’s your real age? an empirical analysis of identity fraud in online game

In this paper, we empirically examine the ID fraud problem in online game. We analyzed over 260,000 users’ behavior using terabytes of big data. The results of the econometrics analysis showed that the behavior pattern of group around 40 years old was very similar to that of teenagers. Considering that the game used for the analysis is a game for young users, this means that some of the users in the group around 40 years old may be teenagers who have stolen the parent’s ID. In addition, we performed discriminant analysis and log traffic analysis to estimate how many young users were using their parent IDs. As a result, about 47% of the users around 40 years old were found to be teenager users. Also, behavior patterns of users who are estimated to be teenagers have been found in other age groups.

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