Security Count Query and Integrity Verification Based on Encrypted Genomic Data
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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 which the Hamming codes and HashMap are adopted to ensure the privacy and integrity of biomedical data during counting queries. And then, the performance of our newly proposed method is evaluated on the basis of the existing single-nucleotide polymorphism (SNP) sequence database, and simulation results show that the new method has good encryption efficiency and realizability, and can guarantee the privacy and integrity of biomedical data effectively while being implemented in counting queries.
KeywordsGenomics Data sharing Cryptography Privacy
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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