Abstract
Over the past few years, we have witnessed that the big data analysis technologies based on machine learning and deep learning have brought great change to medical research. The medical data is a special kind of sensitive data, which is contributed by multiple users. For example, the prescriptions are generated by doctors but also contain the patients’ symptoms and history of diseases. However, the existing data sharing solutions focus on protecting the privacy of the single data owner while ignoring the privacy belonging to multiple owners. In this paper, we first identify this problem and propose a novel secure medical data sharing scheme based on the Chinese remainder theorem to protect the privacy of multiple owners in the medical data. To better support the scenario of medical data sharing, we implement the proposed scheme over a medical blockchain system to build a medical data sharing prototype, and dynamically manage two kinds of subscribers based on logical key hierarchy. The performance analysis validates the security and efficiency of the proposed method for the data sharing scenario of medical data from multiple owners.
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
Vinoth, R., Deborah, L.J.: Secure multi-factor authenticated key agreement scheme for industrial IoT. IEEE Internet Things J. 8, 3801–3811 (2020)
Aitzhan, N.Z., Svetinovic, D.: Security and privacy in decentralized energy trading through multi-signatures, blockchain and anonymous messaging streams. IEEE Trans. Depend. Sec. Comput. 15(5), 840–852 (2018)
Padhya M, Jinwala D.C.: R-OO-KASE: revocable online/offline key aggregate searchable encryption. Data Sci. Eng. 5, 391–418 (2020)
Li, M., Yu, S., Zheng, Y., Ren, K., Lou, W.: Scalable and secure sharing of personal health records in cloud computing using attribute-based encryption. IEEE Trans. Parallel Distrib. Syst. 24, 131–143 (2013)
Phuong, T., Rui, N., Xin, C., Wu, H.: Puncturable attribute-based encryption for secure data delivery in Internet of Things. In: IEEE INFOCOM 2018 - IEEE Conference on Computer Communications (2018)
Song, X., Li, B., Dai, T., et al.: A trust management-based route planning scheme in LBS network. In: ADMA (2022)
Zhang, Y., Zheng, D., Deng, R.H.: Security and privacy in smart health: efficient policy-hiding attribute-based access control. IEEE Internet Things J. 5, 2130–2145 (2018)
Hui, M., Rui, Z., Guomin, Y., Zishuai, S., Kai, H., Yuting, X.: Efficient fine-grained data sharing mechanism for electronic medical record systems with mobile devices. IEEE Trans. Depend. Sec. Comput. 17, 1026–1038 (2018)
Ivan, D.: Moving toward a blockchain-based method for the secure storage of patient records (2016). http://www.healthit.gov/sites/default/files/9-16-drew_ivan_20160804_blockchain_for_healthcare_final.pdf
Zhang, C., Li, Q., Chen, Z., Li, Z., Zhang, Z.: Medical chain: alliance medical blockchain system. Acta Automatica Sinica 45(8), 1495–1510 (2019)
Xu, J., Xue, K., Li, S., Tian, H., Yu, N.: HealthChain: a blockchain-based privacy preserving scheme for large-scale health data. IEEE Internet Things J. 6(5), 8770–8781 (2019)
Guo, H., Zhang, Z., Xu, J., An, N., Lan, X.: Accountable proxy re-encryption for secure data sharing. IEEE Trans. Depend. Sec. Comput. 18(1), 145–159 (2021)
Park, M.H., Park, Y.H., Jeong, H.Y., Seo, S.W.: Key management for multiple multicast groups in wireless networks. IEEE Trans. Mob. Comput. 12(9), 1712–1723 (2013)
Agee, R., Wallner, D., Harder, E.: Key management for multicast: issues and architectures. RFC (1998)
Vinoth, R., Deborah, L.J., Vijayakumar, P., Kumar, N.: Secure multi-factor authenticated key agreement scheme for industrial IoT. IEEE Internet Things J. 8, 3801–3811 (2020)
Yang, Y., Zheng, X., Liu, X., Zhong, S., Chang, V.: Cross-domain dynamic anonymous authenticated group key management with symptom-matching for e-health social system. Future Gener. Comput. Syst. 84, S0167739X1730554X (2017)
Zhang, A., Lin, X.: Towards secure and privacy-preserving data sharing in e-health systems via consortium blockchain. J. Med. Syst. 42(8), 140 (2018)
Kung, Y.H., Hsiao, H.C.: GroupIt: lightweight group key management for dynamic IoT environments. IEEE Internet Things J. 5, 5155–5165 (2019)
Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Zhao, C., Song, W., Peng, Z. (2023). How to Share Medical Data Belonging to Multiple Owners in a Secure Manner. In: Li, B., Yue, L., Tao, C., Han, X., Calvanese, D., Amagasa, T. (eds) Web and Big Data. APWeb-WAIM 2022. Lecture Notes in Computer Science, vol 13423. Springer, Cham. https://doi.org/10.1007/978-3-031-25201-3_17
Download citation
DOI: https://doi.org/10.1007/978-3-031-25201-3_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-25200-6
Online ISBN: 978-3-031-25201-3
eBook Packages: Computer ScienceComputer Science (R0)