Analysis of Game Theoretic Approach in Data Mining Security

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Provided by: Academic Science
Topic: Big Data
Format: PDF
The growing popularity and development of data mining technologies bring serious threat to the security of individual's sensitive information. Analysis of privacy-sensitive data in a multi-party environment 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 third party sensitive data. The paper offers a more realistic formulation of the PPDM (Privacy Preserving Data Mining) problem as a multi-party game where each party tries to maximize its own objectives.
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