Title

Applications of k-anonymity and ℓ-diversity in publishing online social networks

Document Type

Article

Publication Date

1-1-2013

Abstract

Many online social network (OSN) owners, such as Facebook and Twitter, regularly publish data they have collected from their users™ online activities to third parties, such as sociologists and commercial companies. These third parties mine these data and extract information for their particular purposes. This datasharing elicits users™ concerns regarding disclosures of their privacy. This chapter takes a systematic look at the applications of some classical privacy preservation models, including k-anonymity and "-diversity, which were originally developed to protect tabular data privacy to secure users™ privacy contained in OSN data.

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