Efficient Cryptographic Primitives for Private Data Mining

@article{Shaneck2010EfficientCP,
  title={Efficient Cryptographic Primitives for Private Data Mining},
  author={Mark Shaneck and Yongdae Kim},
  journal={2010 43rd Hawaii International Conference on System Sciences},
  year={2010},
  pages={1-9}
}
Data mining is frequently obstructed by privacy concerns. In many cases data is distributed, and bringing the data together in one place for analysis is not possible due to privacy laws (e.g. HIPAA) or policies. Privacy preserving data mining techniques have been developed to address this issue by providing mechanisms to mine the data while giving certain privacy guarantees. However, when these techniques are built on cryptographic primitives, while providing strong privacy, they are often too… CONTINUE READING

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