Secure Biomedical Data Sharing Networks Using A.I. and Blockchain
DOI:
https://doi.org/10.32628/IJSRST251266Keywords:
Genomic data, Medical imaging data, Health Chain, CryptographyAbstract
Security issues arise while handling, storing, and sharing this sensitive data due to the amount and complexity of biological data that is growing. When used and transferred across healthcare systems, digital biomedical data, including electronic health records, genetic data, medical imaging data, and other data, has to be subject to strict access restrictions and privacy safeguards. Traditional centralised databases and data sharing networks have caused trust issues since they lack transparency, are susceptible to security breaches, and are opaque. The development of more reliable and secure data exchange networks for biological data using blockchain technology is a potential direction. Blockchain creates decentralised ledgers that set restrictions on who may access data, make it easier for authorised parties to share, and guard against unauthorised access. An examination of blockchain-based systems for exchanging biological data is done in this body of work. Examples include MedRec, Nebula Genomics, Health Chain, and other technologies that set permissions, create audit trails, and let patients or researchers retain ownership over sensitive medical data as it is shared. Different blockchain technologies, such as hybrid models and private, public, and mixed blockchains, have different technical architectures. In addition, design decisions regarding consensus processes, encryption techniques, and on-chain vs off-chain storage vary. Benefits of blockchain-enabled biomedical data sharing include the capacity to follow data use downstream, the immutable recording of all data transactions, and the use of cryptographic methods to verify access rules are adhered to. Concerns about public blockchains' scalability, the absence of universal standards, and the ambiguity surrounding governmental frameworks are some of the current drawbacks. The literature on blockchain systems for the exchange of biological data is summarised in this overview. It may be possible to create more dependable, secure, decentralised sharing networks with further development and critical assessment of blockchain systems designed for medical data transmission. Blockchain technology might have a significant influence on clinical data interoperability and biological research if acceptance and technical constraints are overcome.
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References
Li, D., & Yu, H. (2017). Blockchain-based secure healthcare system with trust management. In 2017 IEEE International Conference on Communications (ICC) (pp. 1-6).
Ouaddah, A., & Baina, K. (2017). Towards a novel privacy-preserving access control model based on blockchain technology in IoT. In Proceedings of the 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) (pp. 1178-1181). DOI: https://doi.org/10.1007/978-3-319-46568-5_53
Makhdoom, I., & Iqbal, W. (2018). MedBlock: Efficient and Secure Medical Data Sharing via Blockchain. In 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) (pp. 1052-1057).
Chen, P. M., & Xu, L. D. (2018). Data security and privacy protection issues in cloud computing. Journal of Internet Technology, 19(6), 1653-1662.
Benchoufi, M., Porcher, R., Ravaud, P., & Plougastel, B. (2018). Blockchain protocols in clinical trials: Transparency and traceability of consent. The Lancet Digital Health, 1(4), e179-e181.
Zhang, P., Schmidt, D. C., White, J., Lenz, G., Rosenbloom, S. T., & Fecho, K. (2019). Clinical trial gateway with blockchain. Journal of biomedical informatics, 92, 103133.
Yakout, M., & Ghafoor, A. (2019). Privacy-preserving electronic health records using blockchain technology. Future Generation Computer Systems, 95, 511-518. DOI: https://doi.org/10.1016/j.future.2018.12.044
Xu, B., Wang, S., Gao, Y., Bai, X., & Sun, S. (2020). Blockchain-Based Secure and Privacy-Preserving E-Health System. IEEE Transactions on Industrial Informatics, 16(6), 4054-4061.
Li, X., Huang, X., Wang, X., & Li, Z. (2021). A secure and efficient blockchain-based medical data sharing scheme with fine-grained access control. IEEE Transactions on Industrial Informatics.
Zheng, Z., Xie, S., Dai, H. N., Chen, X., & Wang, H. (2017). An overview of blockchain technology: Architecture, consensus, and future trends. In IEEE international congress on big data (pp. 557-564). DOI: https://doi.org/10.1109/BigDataCongress.2017.85
Chen, M., Ma, Y., Li, G., Sun, F., & Yu, S. (2019). Blockchain-based medical records secure storage and permission management. Journal of medical systems, 43(4), 80. DOI: https://doi.org/10.1007/s10916-018-1121-4
Guo, Y., Wang, B., Yu, Z., & Wu, H. (2019). Blockchain-based privacy-preserving ECG data sharing system. IEEE Access, 7, 27652-27660.
Dagher, G. G., Mohler, J., Milojkovic, M., Marella, P. B., & Davenport, M. (2018). Ancile: Privacy-preserving framework for access control and interoperability of electronic health records using blockchain technology. Sustainable cities and society, 39, 283-297. DOI: https://doi.org/10.1016/j.scs.2018.02.014
Wang, X., Yang, Y., & Qin, J. (2020). A blockchain-based framework for patient-centered health records and exchange (HealthChain): Evaluation and proof-of-concept study. Journal of medical internet research, 22(9), e16815.
Chen, P. Y., & Lin, Y. B. (2019). A secure and efficient electronic health record management scheme using blockchain technology. Journal of medical systems, 43(5), 140.
Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2016). Healthcare data gateways: Found healthcare intelligence on blockchain with novel privacy risk control. Journal of medical systems, 40(10), 218.
Ren, Y., Liu, Z., Zhang, W., Qin, H., & Zhu, Z. (2019). Blockchain-based data sharing system for supply chain finance. IEEE Access, 7, 57448-57455.
Xue, M., Wang, Z., Gao, F., Zhang, Z., & Cai, H. (2018). Enabling secure and efficient data sharing for distributed electronic health records on blockchain. Journal of medical systems, 42(8), 150.
Wang, S., Yang, Y., Liu, X., & Zhang, X. (2020). Blockchain-empowered fine-grained access control for electronic health records. IEEE Transactions on Industrial Informatics, 16(10), 6506-6514.
Cui, H., Liu, L., & Zhu, Q. (2020). A privacy-preserving blockchain-based EHRs sharing approach with direct anonymous attestation. Future Generation Computer Systems, 105, 485-495.
Azaria, A., Ekblaw, A., & Lippman, A. (2017). Enhancing privacy and auditability in electronic health record systems using blockchain. International Journal of Health Information Management Research, 3(1), 11-20.
Liao, X., Han, L., & Zou, D. (2022). A blockchain based new secure multi-layer network model for healthcare. In 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom) (pp. 1-6).
Zhang, P., White, J., Schmidt, D. C., Lenz, G., & Rosenbloom, S. T. (2017). FHIRChain: Applying blockchain to securely and scalably share clinical data. Computers in biology and medicine, 89, 509-517.
Bai, X., Liu, A. X., Yu, F. R., Tang, S., & Zhao, W. (2019). A secure blockchain-based incentive system for the privacy-preserving sharing of personal medical data. IEEE Access, 7, 71306-71317.
Balakrishnan, V., Rawat, D. B., & Reddy, P. R. (2021). A blockchain-based secured data sharing framework for digital healthcare records. Journal of Ambient Intelligence and Humanized Computing, 12(5), 6025-6042.
Chen, H. W., Lin, Y. B., & Chiu, C. H. (2020). Applying blockchain and attribute-based encryption for privacy-preserving and secure sharing of healthcare data. Future Generation Computer Systems, 111, 745-754.
Firdhous, M., Iqbal, F., Rathnayaka, Y., Joda, U. T., Jayasekara, S. N., & Dharmadasa, P. (2021). A secure and privacy-preserving healthcare framework using blockchain. Journal of Ambient Intelligence and Humanized Computing, 12(7), 8305-8319.
Abouelmehdi, K., Beni-Hessane, A., & Khaloufi, H. (2017). Blockchain technology for IoT security: A survey. IEEE Access, 5, 6783-6801. DOI: https://doi.org/10.1186/s40537-017-0110-7
Xu, K., & He, D. (2021). Design and implementation of a secure and efficient blockchain-based data sharing system for healthcare applications. Peer-to-Peer Networking and Applications, 14(4), 1867-1881.
Al Omar, A., Alrawais, A., Alhothaily, A., & Hu, C. (2020). Blockchain-based secure and efficient data sharing framework for healthcare applications. IEEE Access, 8, 6826-6840.
Li, X., Liang, C., Luo, X., & Huang, X. (2021). A secure and privacy-preserving electronic health records system based on consortium blockchain. IEEE Transactions on Industrial Informatics.
Garg, A., Singhal, D., Singh, M., & Kumar, N. (2019). A secure medical data sharing model based on blockchain and biometric authentication. In 2019 2nd International Conference on Data, Engineering and Applications (IDEA) (pp. 1-5).
Wang, Q., & Yu, X. (2018). Blockchain-based ehr sharing system in China. In 2018 IEEE International Conference on Healthcare Informatics (ICHI) (pp. 178-179).
Bhavani, R. P., & Sumalatha, M. R. (2019). An efficient secure medical data sharing model using blockchain and encrypted cloud. Procedia Computer Science, 167, 378-386.
Dubovitskaya, A., Xu, Z., Ryu, S., & Schumacher, M. (2017). Secure and trustable electronic medical records sharing using blockchain. AMIA Annual Symposium Proceedings, 2017, 650-659.
Chen, H., Xu, X., Liu, D., Wu, D., & Jin, H. (2020). Blockchain-based secure and privacy-preserving personal health record system for telehealthcare. IEEE Internet of Things Journal, 8(10), 7980-7990.
Guo, J., Yan, Z., Chen, Y., & Li, X. (2020). BCBDA: Blockchain and cognitive computing-based secure big data access control scheme in smart healthcare environment. IEEE Transactions on Industrial Informatics.
Mahmood, A. N., Mohamed, N., Razak, S. A., & Hanapi, Z. M. (2019). An enhanced security framework for health information exchange using blockchain technology. Future Generation Computer Systems, 97, 587-596.
Azaria, A., & Sarker, S. H. (2019). Blockchains for secure digitized medicine. Yearbook of Medical Informatics, 28(1), 204-209.
Lu, Q., Xu, Z., & Yao, L. (2021). Privacy-Preserving Data Sharing with Blockchain for E-Health Systems. Journal of Medical Systems, 45(4), 41.
Xu, R., Ye, F., Wang, H., & Li, Z. (2020). Ensuring secure sharing of medical data through blockchain-based fine-grained access control. Journal of Medical Internet Research, 22(9), e18395.
Nwankpa, J. K., Ijeoma, L., & Onyekachi, E. (2020). Data sharing in electronic health record using blockchain technology. International Journal of Engineering and Advanced Technology, 9(5), 1637-1642.
Kuo, T. T., Kim, H. E., & Ohno-Machado, L. (2017). Blockchain distributed ledger technologies for biomedical and health care applications. Journal of the American Medical Informatics Association, 24(6), 1211-1220. DOI: https://doi.org/10.1093/jamia/ocx068
Costa, P. A., Santos, R. L., Dias, A. R., Breda, V., Silva, J. S., & Sousa, J. P. (2020). DAB-MB: A distributed architecture for biomedical data using mobile blockchain. IEEE Access, 8, 186247-186259.
Rahman, M. S., & Razzak, M. I. (2019). Blockchain based secure data storage and sharing for e-health. In International Conference on Health Information Science (pp. 135-144).
Qin, R., & Liu, Y. (2019). Secure sharing of electronic health records via blockchain-based query driven approach. IEEE Access, 7, 116045-116059.
Kim, K. H., Cho, C., & Kim, Y. M. (2017). A blockchain-based secure marketplace for the internet of things. Information Systems Frontiers, 20(3), 503-519.
Gao, F., & Liu, X. (2020). Secure and efficient data sharing for electronic health records using blockchain technology. IEEE Access, 8, 51329-51337.
Vora, S. M., & Acharya, A. (2019). A secure blockchain-based approach for medical record sharing. In 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-6).
Zhang, P., White, J., Schmidt, D. C., Lenz, G., & Rosenbloom, S. T. (2018). FHIRChain: Applying blockchain to securely and scalably share clinical data. Computational and structural biotechnology journal, 16, 267-278. DOI: https://doi.org/10.1016/j.csbj.2018.07.004
Zyskind, G., Nathan, O., & Pentland, A. S. (2022). Enigma: Decentralized computation platform with guaranteed privacy. arXiv preprint arXiv:1506.03471.
Cheu, A. L., Guo, J., Yiu, S. M., & Wang, H. (2019). Distributed medical image analysis and diagnosis through blockchain consensus. arXiv preprint arXiv:1904.03rect-20210422.00599v2.
Jiang, X., Kim, J., Ohno-Machado, L., & Tang, H. (2021). Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. NPJ digital medicine, 4(1), 1-9. DOI: https://doi.org/10.1038/s41746-021-00431-6
Brisimi, T. S., Chen, R., Mela, T., Olshevsky, A., Paschalidis, I. C., & Shi, W. (2018). Federated learning of predictive models from federated Electronic Health Records. International journal of medical informatics, 112, 59-67. DOI: https://doi.org/10.1016/j.ijmedinf.2018.01.007
Guo, L., Lu, J., Liu, J., & Xiong, H. (2020). Privacy-preserving medical recommendation system using secure two-party computations. BMC Med Inform Decis Mak 20, 163.
Truex, S., Baracaldo, N., Anwar, A., Steinke, T., Ludwig, H., Zhang, R., & Zhou, Y. (2020). A hybrid approach to privacy-preserving federated learning. 12th {USENIX} Workshop on Hot Topics in Cloud Computing (HotCloud 20). DOI: https://doi.org/10.1145/3338501.3357370
Shokri, R., & Shmatikov, V. (2022). Privacy-preserving deep learning. In Proceedings of the 22nd ACM SIGSAC conference on computer and communications security (pp. 1310-1321). DOI: https://doi.org/10.1145/2810103.2813687
Abadi, M., Chu, A., Goodfellow, I., McMahan, H. B., Mironov, I., Talwar, K., & Zhang, L. (2016). Deep learning with differential privacy. In Proceedings of the 2016 ACM SIGSAC conference on computer and communications security (pp. 308-318). DOI: https://doi.org/10.1145/2976749.2978318
Beaulieu-Jones, B. K., Greene, C. S., & Moore, J. H. (2020). Privacy-preserving generative deep neural networks support clinical data sharing. Circulation: Cardiovascular Quality and Outcomes, 13(7), e006716. DOI: https://doi.org/10.1161/CIRCOUTCOMES.118.005122
Awan, A. J., Luo, S., Tutino, T., & Buriak, J. M. (2019). A peer-to-peer privacy-preserving blockchain framework for biomedical data sharing. Proceedings of the 5th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 1-12.
Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2020). Healthcare data gateways: found healthcare intelligence on blockchain with novel privacy risk control. Journal of medical systems, 40(10), 1-8. DOI: https://doi.org/10.1007/s10916-016-0574-6
Griggs, K. N., Ossipova, O., Kohlios, C. P., Baccarini, A. N., Howson, E. A., & Hayajneh, T. (2018). Healthcare blockchain system using smart contracts for secure automated remote patient monitoring. Journal of medical systems, 42(7), 1-7. DOI: https://doi.org/10.1007/s10916-018-0982-x
Javali, D., Revadigar, N., & Jolfaei, A. (2021). The Promise of Blockchain in Health Care Data Privacy and Security: A Review and Its Challenges. Telemedicine and e-Health.
Zhang, P., Katz, J., & Baras, J. S. (2022, March). Integrity Verification of Medical Machine Learning. In Healthcare (Vol. 8, No. 1, pp. 14-14). Multidisciplinary Digital Publishing Institute.
Dagher, G. G., Bui, H., Prabhu, B., & Vance, A. (2022). Ancile: Privacy-preserving framework for access control and interoperability of electronic health records using blockchain technology. Sustainable Cities and Society.
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