Achieving Efficient and Privacy-Preserving k-NN Query for Outsourced eHealthcare Data

Author:

Zheng Yandong,Lu RongxingORCID,Shao Jun

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Reference24 articles.

1. Philips healthcare case study. https://aws.amazon.com/cn/solutions/case-studies/philips/

2. Agrawal, R., Kiernan, J., Srikant, R., and Xu, Y.: Order-preserving encryption for numeric data. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 563–574, 2004

3. Beis, J.S., and Lowe, D.G.: Shape indexing using approximate nearest-neighbour search in high-dimensional spaces. In: 1997 Conference on Computer Vision and Pattern Recognition (CVPR ’97), pp. 1000–1006, 1997

4. Elmehdwi, Y., Samanthula, B.K., and Jiang, W.: Secure k-nearest neighbor query over encrypted data in outsourced environments. In: International Conference on Data Engineering, pp. 664–675, 2014

5. Firouzi, F., Rahmani, A.M., Mankodiya, K., Badaroglu, M., Merrett, G.V., Wong, P., and Farahani, B., Internet-of-things and big data for smarter healthcare: From device to architecture, applications and analytics. Futur. Gener. Comput. Syst. 78:583–586, 2018.

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