MUSE: An Efficient and Accurate Verifiable Privacy-Preserving Multikeyword Text Search over Encrypted Cloud Data

Xiangyang Zhu, Hua Dai, Xun Yi, Geng Yang, Xiao Li. MUSE: An Efficient and Accurate Verifiable Privacy-Preserving Multikeyword Text Search over Encrypted Cloud Data. Security and Communication Networks, 2017, 2017. [doi]

@article{ZhuDYYL17,
  title = {MUSE: An Efficient and Accurate Verifiable Privacy-Preserving Multikeyword Text Search over Encrypted Cloud Data},
  author = {Xiangyang Zhu and Hua Dai and Xun Yi and Geng Yang and Xiao Li},
  year = {2017},
  doi = {10.1155/2017/1923476},
  url = {https://doi.org/10.1155/2017/1923476},
  researchr = {https://researchr.org/publication/ZhuDYYL17},
  cites = {0},
  citedby = {0},
  journal = {Security and Communication Networks},
  volume = {2017},
}