Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Voges, J., Ostermann, J., Hernaez, M.: CALQ: compression of quality values of aligned sequencing data. Bioinformatics 34(10), 16–50 (2018)
Spence, O., et al.: Patient consent to publication and data sharing in industry and NIH-funded clinical trials. Trials 19(269), 1–5 (2018)
Mailman, M., Uba, R.O., Shin, S., Doshi, P.: The NCBI dbGaP database of genotypes and phenotypes. Nat. Genet. 39(10), 1181–1186 (2007)
Peakman, T., Elliott, P.: The UK biobank sample handling and storage validation studies. Int. J. Epidemiol. 37(1), 2–6 (2008)
Hadjadj, L., Jiyipong, T., Bittar, F., Morand, S., Rolain, J.M.: First draft genome sequences of two bartonella tribocorum strains from laos and cambodia. Genome Announc. 6(2), e01435-17 (2018)
Kantarcioglu, M., Jiang, W., Liu, Y., Malin, B.: A cryptographic approach to securely share and query genomic sequences. IEEE Trans. Inf Technol. Biomed. 12(5), 606–617 (2008)
Jha, S., Kruger, L.: Towards practical privacy for genomic computation. In: IEEE Symposium on Security and Privacy, pp. 216–230 (2008)
Wang, R., Wang, X.F., Li, Z., Tang, H.X., Reiter, M.K., Dong, Z.: Privacy-preserving genomic computation through program specialization. In: 16th ACM Conference Proceedings of the on Computer and Communications Security, pp. 338–347 (2009)
Troncoso-Pastoriza, J.R., Katzenbeisser, S., Celik, M.: Celik privacy preserving error resilient DNA searching through oblivious automata. In: 14th ACM Conference Proceedings on Computer and Communications Security, pp. 519–528 (2007)
Acknowledgements
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chen, J. et al. (2021). Security Count Query and Integrity Verification Based on Encrypted Genomic Data. In: Liu, Q., Liu, X., Li, L., Zhou, H., Zhao, HH. (eds) Proceedings of the 9th International Conference on Computer Engineering and Networks . Advances in Intelligent Systems and Computing, vol 1143. Springer, Singapore. https://doi.org/10.1007/978-981-15-3753-0_63
Download citation
DOI: https://doi.org/10.1007/978-981-15-3753-0_63
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3752-3
Online ISBN: 978-981-15-3753-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)