Preview and Maximizing the Data Utility in Privacy Preserving Social Network

Provided by: International Journal of Computer Applications
Topic: Networking
Format: PDF
The field of preserving privacy in data mining is gaining momentum in the recent times as the data sets are more open towards mining by organizations and academic institutes. Ensuring privacy of the data before publishing it to wider audience is always an open challenge. So far the research is more towards performing perturbation on relational data. The gaining popularity of social networks leads to new problems and challenges. Different methodologies have been proposed in an attempt to preserve the privacy of the published datasets for social networks. There have been many techniques evolved to exploit the perturbed data and get some sensitive knowledge for social network data as well.

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