A Secure and Efficient kNN Classification Algorithm Using Encrypted Index Search and Yao's Garbled Circuit over Encrypted Databases

Hyeong-Jin Kim, Jae-Hwan Shin, Jae-Woo Chang. A Secure and Efficient kNN Classification Algorithm Using Encrypted Index Search and Yao's Garbled Circuit over Encrypted Databases. In Tran Khanh Dang, Josef Küng, Roland R. Wagner, Nam Thoai, Makoto Takizawa 0001, editors, Future Data and Security Engineering - 5th International Conference, FDSE 2018, Ho Chi Minh City, Vietnam, November 28-30, 2018, Proceedings. Volume 11251 of Lecture Notes in Computer Science, pages 21-38, Springer, 2018. [doi]

@inproceedings{KimSC18-0,
  title = {A Secure and Efficient kNN Classification Algorithm Using Encrypted Index Search and Yao's Garbled Circuit over Encrypted Databases},
  author = {Hyeong-Jin Kim and Jae-Hwan Shin and Jae-Woo Chang},
  year = {2018},
  doi = {10.1007/978-3-030-03192-3_3},
  url = {https://doi.org/10.1007/978-3-030-03192-3_3},
  researchr = {https://researchr.org/publication/KimSC18-0},
  cites = {0},
  citedby = {0},
  pages = {21-38},
  booktitle = {Future Data and Security Engineering - 5th International Conference, FDSE 2018, Ho Chi Minh City, Vietnam, November 28-30, 2018, Proceedings},
  editor = {Tran Khanh Dang and Josef Küng and Roland R. Wagner and Nam Thoai and Makoto Takizawa 0001},
  volume = {11251},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-03192-3},
}