(a,k)-Anonymous Scheme for Privacy-Preserving Data Collection in IoT-based Healthcare Services Systems

Author:

Li Hongtao,Guo Feng,Zhang Wenyin,Wang Jie,Xing Jinsheng

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Springer Science and Business Media LLC

Subject

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

Reference35 articles.

1. Agrawal, R., and Srikant, R., Privacy-preserving data mining. SIGMOD Record (ACM Special Interest Group on Management of Data). 29(2):439–450, 2000.

2. Mohana, S., Mary, S.A., and Arul, S., Preserving privacy in health care information: a memetic approach. Journal of Medical Imaging and Health Informatics. 6(3):779–783, 2016.

3. Guan, S.P, Zhang, Y, Ji, Y., Preserving-Privacy Health Data Collection for Preschool Children. Computational and Mathematical Methods in Medical, Article ID 501607, 5 pages, 2013.

4. Rahman, F, Williams, D, Wang, Q, et al. PriDac: Privacy Preserving Data Collection in Sensor enabled REID based Healthcare Services. 2014 I.E. 15th International Symposium on High-Assurance Systems Engineering, Washington: HASE: 236–242, 2014.

5. Ni, J.B., Zhang, K., Lin, X.D., and Shen, X.M., Securing fog computing for internet of things applications: Challenges and solutions. IEEE Communications Surveys and Tutorials. https://doi.org/10.1109/COMST.2017.2762345,2017 .

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