Abstract
The popularity of social network sites has increased extremely during the previous years. Social network sites provide an intimacy interactive platform on the Internet for exchanging information among users. Users may disclose their ideas, comments, pictures or videos, secrets about their business or other private information that may be used by inappropriate user to threaten users’ future decisions or positions. Thus, the goal of this paper is to explain how users’ data can be anonymized to mitigate privacy concerns through information dissemination. The results depicts that although anonymization of data cannot protect the privacy of data completely, it can reduce the possibility of re-identification.
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Kavianpour, S., Shanmugam, B., Ismail, Z. (2013). Data Anonymization According to the Combination of Attributes on Social Network Sites. In: Thampi, S.M., Atrey, P.K., Fan, CI., Perez, G.M. (eds) Security in Computing and Communications. SSCC 2013. Communications in Computer and Information Science, vol 377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40576-1_27
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DOI: https://doi.org/10.1007/978-3-642-40576-1_27
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