Preserving Data Analysis on Graphs and Social Networks

While literature within the field of privacy-preserving data mining (PPDM) has been around for many years, attention has mostly been given to the perturbation and anonymization of tabular data; understanding the role of privacy over graphs and networks is still very much in its infancy. In this chapter, we survey a very recent body of research on privacy-preserving data analysis over graphs and networks in an effort to allow the reader to observe common themes and future directions.
Date: November 18, 2008
Book Title: Next Generation Data Mining. Edited by Hillol Kargupta, Jiawei Han, Philip Yu, Rajeev Motwani, and Vipin Kumar, CRC Press, 2008
Type: Article

Bibtex


@Article{Preserving_Data_Analysis_on_Graphs_and_S,
  author = "Kun Liu and Kamalika Das and Tyrone Grandison and Hillol Kargupta",
  title = "{Preserving Data Analysis on Graphs and Social Networks}",
  month = "November",
  year = "2008",
  journal = "Next Generation Data Mining. Edited by Hillol Kargupta, Jiawei Han, Philip Yu, Rajeev Motwani, and Vipin Kumar, CRC Press, 2008",
}