Abstract
Nowadays, the number of SNS user is increasing very quickly and importance of information in SNS is getting higher. While other traditional web services treat only photos and articles of users, SNS covers more sort of information. SNS privacy issue receives more attention because SNS users upload and update information about them in real time spontaneously. Existing researches mainly concentrate about extracting profiles from each user or connections between users. In this paper, we present a possible privacy attacking method for an attacker may use, and show that the method can be adopted in real social network service form as the third party application. Especially, we show how the application works to analyze threats to which SNS users can be exposed, and to show in what way users should react when using SNS.
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Kim, C., Jung, K., Park, S. (2013). A Method of Pre-detecting Privacy Leak in Social Network Service Using Collaborative Filtering. In: Hong, B., Meng, X., Chen, L., Winiwarter, W., Song, W. (eds) Database Systems for Advanced Applications. DASFAA 2013. Lecture Notes in Computer Science, vol 7827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40270-8_13
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DOI: https://doi.org/10.1007/978-3-642-40270-8_13
Publisher Name: Springer, Berlin, Heidelberg
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