会议论文

Zou, S.

中文

Advances in Intelligent Systems and Computing

2194-5357

2021

1143

576-582

9th International Conference on Computer Engineering and Networks, CENet2019

Proceedings of the 9th International Conference on Computer Engineering and Networks(CENet2019)

18 October 2019 through 20 October 2019

中国湖南长沙

Liu Q.Liu X.Li L.Zhao H.-H.Zhou H.

Springer

9789811537523

10.26914/c.cnkihy.2019.048130

This work is supported by the National Natural Science Foundation of China (61873221, 61672447), the Natural Science Foundation of Hunan Province (2018JJ4058, 2017JJ5036, 2019JJ70010), the CERNET Next Generation Internet Technology Innovation Project (NGII20160305, NGII20170109), the National Scientific Research Foundation of Hunan Province Education Committee (17C0224, 18B367), the Science Plan Project of Chongqing College of Electronic Engineering (XJPT201707), 5 batches of excellent talents in university plan of Chongqing (2017.29), College Innovation Research Groups of Chongqing Education Commission (2019.9.38), the National Scientific Foundation of Chongqing City (cstc2019jcyj-msxm2570), the National Scientific Research Foundation of Chongqing Education Commission (KJQN201803110, KJZD-K201903101).

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Biomedical research is increasingly dependent on a large number of genomic and clinical data, and in order to protect sensitive information from being exposed to multiple partners, these data are often encrypted before being outsourced to third-party cloud service providers with abundant storage and computing resources. However, these third parties will become potential targets to be violated. Hence, in this paper, a novel method is proposed for secure sharing and management of genomic and clinical data on an untruthful cloud server firstly, in...