Abstract
ABSTRACT This research defines the degree of the threat caused by the le akage of personal information in a quantitative way. The proposed definition classifies the individual items in a person al data, then assigns a risk value to each item. The proposed method considers the increase of the risk by the composition of the multiple items. We also deals with various attack scenario s, where the attackers seek different types of personal information. The concept of entropy applies to associate the degree of th e personal information exposed with the total risk value. In our experiment, we measured the risk value of the Facebook users with their public profiles. The result of the experiment demons trates that they are most vulnerable against stalker attacks am ong four possible attacks with the personal information.Keywords: personal information exposure, quantitative measure for the ris k by personal information leakage, personal information security, security for SNS, security I.서 론 *
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