Integration of Ethereum Blockchain with Cloud Computing for Secure Healthcare Data Management System
Keywords:
Ethereum Blockchain Technology, Cloud Computing, Inter Planetary File System, Data Privacy, Homomorphic encryption, Decentralized identifiersAbstract
Effective management of health data is critical in this age of digital change. In order to solve the issues with safe healthcare data systems, this paper suggests a brand-new Hybrid Healthcare Data Management System (HDMS) that seamlessly combines blockchain and cloud computing technology. The solution guarantees the safe storage and effective administration of health data by utilizing the scalability and flexibility of cloud computing. The Ethereum blockchain, which offers immutability through smart contracts for data integrity assurance, is used to improve security. Important components of the suggested approach include Blockchain Anchoring, which uses distinct hash references on Ethereum to ensure data integrity, Google Cloud Integration for scalable storage and immediate data access, and compliance with Health Level 7 (HL7) formatting criteria for medical data storage. Robust privacy safeguards include cutting-edge methods like decentralized identifiers (DIDs) and homomorphic encryption, which guarantee secure computations on encrypted data and trustworthy identification for allowed access. IPFS file storage is used by the system to improve security by providing redundancy and resilience. By utilizing blockchain's immutability and cloud storage's distributed architecture, HDMS demonstrates resilience against disturbances. Results of the proposed method is implemented in Python Software. The Homomorphic approach that has been suggested continuously beats Optimized Blowfish Algorithm (OBA) in terms of encryption and decryption times. The improvement in encryption is between 3000ms (10 kb) and 1350ms (40 kb). The enhancement demonstrates improved efficiency across data sizes, ranging from 4000ms (10 kb) to 3350ms (40 kb) in decryption. The goal of HDMS is to create a future in which patient outcomes are enhanced by the appropriate handling, storage, analysis, and use of medical data.
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G. Srivastava, R. M. Parizi, and A. Dehghantanha, “The Future of Blockchain Technology in Healthcare Internet of Things Security,” in Blockchain Cybersecurity, Trust and Privacy, K.-K. R. Choo, A. Dehghantanha, and R. M. Parizi, Eds., in Advances in Information Security. , Cham: Springer International Publishing, 2020, pp. 161–184. doi: 10.1007/978-3-030-38181-3_9.
“Cloud-based Healthcare data management Framework,” KSII TIIS, vol. 14, no. 3, Mar. 2020, doi: 10.3837/tiis.2020.03.006.
A. Sajid and H. Abbas, “Data Privacy in Cloud-assisted Healthcare Systems: State of the Art and Future Challenges,” J Med Syst, vol. 40, no. 6, p. 155, Jun. 2016, doi: 10.1007/s10916-016-0509-2.
A. Rehman, S. Naz, and I. Razzak, “Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities.” arXiv, Apr. 05, 2020. Accessed: Nov. 21, 2023. [Online]. Available: http://arxiv.org/abs/2004.09010
I. T. Javed, F. Alharbi, B. Bellaj, T. Margaria, N. Crespi, and K. N. Qureshi, “Health-ID: A Blockchain-Based Decentralized Identity Management for Remote Healthcare,” Healthcare, vol. 9, no. 6, p. 712, Jun. 2021, doi: 10.3390/healthcare9060712.
T. Lysaght, H. Y. Lim, V. Xafis, and K. Y. Ngiam, “AI-Assisted Decision-making in Healthcare,” ABR, vol. 11, no. 3, pp. 299–314, Sep. 2019, doi: 10.1007/s41649-019-00096-0.
R. Kirkscey, “mHealth Apps for Older Adults: A Method for Development and User Experience Design Evaluation,” Journal of Technical Writing and Communication, vol. 51, no. 2, pp. 199–217, Apr. 2021, doi: 10.1177/0047281620907939.
S. Routray and R. Ganiga, “Secure Storage of Electronic Medical Records(EMR) on Interplanetary File System(IPFS) Using Cloud Storage and Blockchain Ecosystem,” in 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), Sep. 2021, pp. 1–9. doi: 10.1109/ICECCT52121.2021.9616690.
J. J. Hathaliya and S. Tanwar, “An exhaustive survey on security and privacy issues in Healthcare 4.0,” Computer Communications, vol. 153, pp. 311–335, Mar. 2020, doi: 10.1016/j.comcom.2020.02.018.
H. B. Mahajan et al., “Integration of Healthcare 4.0 and blockchain into secure cloud-based electronic health records systems,” Appl Nanosci, vol. 13, no. 3, pp. 2329–2342, Mar. 2023, doi: 10.1007/s13204-021-02164-0.
J. Paul, M. S. M. S. Annamalai, W. Ming, A. A. Badawi, B. Veeravalli, and K. M. M. Aung, “Privacy-Preserving Collective Learning With Homomorphic Encryption,” IEEE Access, vol. 9, pp. 132084–132096, 2021, doi: 10.1109/ACCESS.2021.3114581.
L. Hirtan, P. Krawiec, C. Dobre, and J. M. Batalla, “Blockchain-Based Approach for e-Health Data Access Management with Privacy Protection,” in 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Sep. 2019, pp. 1–7. doi: 10.1109/CAMAD.2019.8858469.
M. Taleka, K. Makkithaya, and N. V G, “A Blockchain Based Decentralized Identifiers for Entity Authentication in Electronic Health Records,” Cogent Engineering, vol. 9, Mar. 2022, doi: 10.1080/23311916.2022.2035134.
S. Cao, X. Zhang, and R. Xu, “Toward Secure Storage in Cloud-based eHealth Systems: A Blockchain-Assisted Approach,” IEEE Network, vol. 34, no. 2, pp. 64–70, Mar. 2020, doi: 10.1109/MNET.001.1900173.
R. Saha, G. Kumar, M. K. Rai, R. Thomas, and S.-J. Lim, “Privacy Ensured ${e}$ -Healthcare for Fog-Enhanced IoT Based Applications,” IEEE Access, vol. 7, pp. 44536–44543, 2019, doi: 10.1109/ACCESS.2019.2908664.
R. Akkaoui, X. Hei, and W. Cheng, “EdgeMediChain: A Hybrid Edge Blockchain-Based Framework for Health Data Exchange,” IEEE Access, vol. 8, pp. 113467–113486, 2020, doi: 10.1109/ACCESS.2020.3003575.
M. Mehrtak et al., “Security challenges and solutions using healthcare cloud computing,” Journal of Medicine and Life, vol. 14, no. 4, p. 448, Aug. 2021, doi: 10.25122/jml-2021-0100.
R. Jabbar, N. Fetais, M. Krichen, and K. Barkaoui, Blockchain technology for healthcare: Enhancing shared electronic health record interoperability and integrity. 2020, p. 317. doi: 10.1109/ICIoT48696.2020.9089570.
Y. Kang, J. Cho, and Y. B. Park, “An Empirical Study of a Trustworthy Cloud Common Data Model Using Decentralized Identifiers,” Applied Sciences, vol. 11, no. 19, p. 8984, Sep. 2021, doi: 10.3390/app11198984.
A. Kumar, R. Krishnamurthi, A. Nayyar, K. Sharma, V. Grover, and E. Hossain, “A Novel Smart Healthcare Design, Simulation, and Implementation Using Healthcare 4.0 Processes,” IEEE Access, vol. 8, pp. 118433–118471, 2020, doi: 10.1109/ACCESS.2020.3004790.
S. Biswas, K. Sharif, F. Li, Z. Latif, S. S. Kanhere, and S. P. Mohanty, “Interoperability and Synchronization Management of Blockchain-Based Decentralized e-Health Systems,” IEEE Transactions on Engineering Management, vol. 67, no. 4, pp. 1363–1376, Nov. 2020, doi: 10.1109/TEM.2020.2989779.
J. Sun, L. Ren, S. Wang, and X. Yao, “A blockchain-based framework for electronic medical records sharing with fine-grained access control,” PLOS ONE, vol. 15, no. 10, p. e0239946, Oct. 2020, doi: 10.1371/journal.pone.0239946.
S. S and J. S. Raj, “INTERNET OF THINGS AND BIG DATA ANALYTICS FOR HEALTH CARE WITH CLOUD COMPUTING,” JITDW, vol. 01, no. 01, pp. 9–18, Sep. 2019, doi: 10.36548/jitdw.2019.1.002.
L. Syed, S. Jabeen, M. S., and A. Alsaeedi, “Smart healthcare framework for ambient assisted living using IoMT and big data analytics techniques,” Future Generation Computer Systems, vol. 101, pp. 136–151, Dec. 2019, doi: 10.1016/j.future.2019.06.004.
C. Regueiro, I. Seco, S. de Diego, O. Lage, and L. Etxebarria, “Privacy-enhancing distributed protocol for data aggregation based on blockchain and homomorphic encryption,” Information Processing & Management, vol. 58, no. 6, p. 102745, Nov. 2021, doi: 10.1016/j.ipm.2021.102745.
S. I. Shyla and S. S. Sujatha, “Efficient secure data retrieval on cloud using multi-stage authentication and optimized blowfish algorithm,” J Ambient Intell Human Comput, vol. 13, no. 1, pp. 151–163, Jan. 2022, doi: 10.1007/s12652-021-02893-8.
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