TR-CS _ 01 _ 07 A Game Theoretic Approach toward Multi-Party Privacy-Preserving Distributed Data Mining

@inproceedings{Kargupta2007TRCS_0,
  title={TR-CS _ 01 _ 07 A Game Theoretic Approach toward Multi-Party Privacy-Preserving Distributed Data Mining},
  author={Hillol Kargupta and Kamalika Das and Kun Liu},
  year={2007}
}
Analysis of privacy-sensitive data in a multi-party enviro nment often assumes that the parties are well-behaved and they abide by the protocols. Parties compute whatever is needed, communicate correctly following the rules, and do not collude with other parties for exposing thi rd party sensitive data. This paper argues that most of these assumptions fall a part in real-life applications of privacy-preserving distributed data mini ng (PPDM). The paper offers a more realistic formulation of the… CONTINUE READING
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