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.
Recommended Citation
Li, N., & Das, S. (2013). Applications of k-anonymity and ℓ-diversity in publishing online social networks. Retrieved from https://digitalcommons.pvamu.edu/computer-information-facpubs/52