PFC: Privacy Preserving FPGA Cloud - A Case Study of MapReduce

@article{Xu2014PFCPP,
  title={PFC: Privacy Preserving FPGA Cloud - A Case Study of MapReduce},
  author={L. Xu and W. Shi and Taeweon Suh},
  journal={2014 IEEE 7th International Conference on Cloud Computing},
  year={2014},
  pages={280-287}
}
  • L. Xu, W. Shi, Taeweon Suh
  • Published 2014
  • Computer Science
  • 2014 IEEE 7th International Conference on Cloud Computing
  • Privacy is one of the critical concerns that hinder the adoption of public cloud. For storage, encryption can be used to protect user's data. But for outsourced data processing, for example MapReduce, there is no satisfying solution. Users have to trust the cloud service providers totally. In this work, we propose PFC, a FPGA cloud for privacy preserving computation in the public cloud environment. PFC leverages the security feature of the existing FPGAs originally designed for bitstream IP… CONTINUE READING

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