Exploring Privacy Preservation in Outsourced K-Nearest Neighbors with Multiple Data Owners

@inproceedings{Li2015ExploringPP,
  title={Exploring Privacy Preservation in Outsourced K-Nearest Neighbors with Multiple Data Owners},
  author={Frank Li and Richard Shin and Vern Paxson},
  booktitle={CCSW},
  year={2015}
}
The k-nearest neighbors (k-NN) algorithm is a popular and effective classification algorithm. Due to its large storage and computational requirements, it is suitable for cloud outsourcing. However, k-NN is often run on sensitive data such as medical records, user images, or personal information. It is important to protect the privacy of data in an outsourced k-NN system. Prior works have all assumed the data owners (who submit data to the outsourced k-NN system) are a single trusted party… CONTINUE READING

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