Blockchain-based secure and smart healthcare IoT system using hybrid consensus mechanism with an honest block

Dou, H., Yin, L.: A probabilistic proof-of-Stake protocol with fast confirmation’. J. Inform. Secur. Appl. 68, 103268 (2022). https://doi.org/10.1016/j.jisa.2022.103268

Article  Google Scholar 

Guru, A., Mohandas, B.K., Mohapatra, H., Fadi-ul-Turjman, C.A.: A survey on consensus protocols and attacks on blockchain technology. Appl. Sci. (2023). https://doi.org/10.3390/app13042604

Article  Google Scholar 

Jeet, R., Kang, S.S., Shah, Md., Hoque, S., Dugbakie, B.N.: Secure model for iot healthcare system under encrypted blockchain framework. Secur. Commun. Netw. 2022, 1–11 (2022). https://doi.org/10.1155/2022/3940849

Article  Google Scholar 

Kumari, T., Kumar, R., Dwivedi, R.K.: Designing blockchain-based consensus mechanism for smart healthcare IoT. In: International Conference on Intelligent Innovative Technologies in Computing. Electrical and Electronics, IITCEE (2023)

Kumari, T., Kumar, R., Dwivedi, R.K.: Design of a secure and smart healthcare IoT with blockchain: a review. In: Part of the SIST Book Series, Springer, 6th Springer International Conference on Information and Communication Technology for Intelligent Systems, ICTIS (2022). https://doi.org/10.1007/978-981-19-3575-6_25

Liao, Z., Cheng, S.: RVC: a reputation and voting based blockchain consensus mechanism for edge computing-enabled IoT Systems. J. Netw. Comput. Appl. 209, 103510 (2023). https://doi.org/10.1016/j.jnca.2022.103510

Article  Google Scholar 

Mbonihankuye, S., Nkunzimana, A., Ndagijimana, A.: Healthcare data security technology: HIPAA compliance. Wireless Commun. Mobile Comput. 17, 1–7 (2019). https://doi.org/10.1155/2019/1927495

Mu, C., Ding, T., Yang, M., Huang, Y., Jia, W., Shen, X.: Peer-to-peer energy trading based on a hybrid blockchain system. Energy Rep. 1(9), 124–128 (2023). https://doi.org/10.1016/j.egyr.2023.09.123

Article  Google Scholar 

Pass, R., Shi, E.: Hybrid consensus: efficient consensus in the permission less model. Eur. J. Hybrid Imaging (2017)

Prabha, P., Chatterjee, K.: Design and implementation of hybrid consensus mechanism for IoT-based healthcare system security. Int. J. Inform. Technol. (2022). https://doi.org/10.1007/s41870-022-00880-6

Article  Google Scholar 

Raghav, N.A., Venkatesan, S., Verma, S.: PoEWAL: a lightweight consensus mechanism for blockchain in IoT. Pervas. Mobile (2020b). https://doi.org/10.1016/j.pmcj.2020.101291

Article  Google Scholar 

Rensaa, J.-A.H.: VerifyMed-application of blockchain technology to improve trust in virtualized healthcare services. Master's thesis, NTNU (2020)

Roman, B., Antonina K., Nicheporuk, A., Markowsky, G., Sachenko, A., Proof-of-activity consensus protocol based on a network's active nodes 'Intelligent Information Technologies and System of Information Security, Vol-2623.urn:nbn:de:0074–2623–0 (2020) .

Schinckus, C.: ’Proof-of-work based blockchain technology and anthropocene: an undermined situation? Renew. Sustain. Energy Rev. 152, 111682 (2021). https://doi.org/10.1016/j.rser.2021.111682

Article  Google Scholar 

Sheikh, H., Azmathullah, R.M., Rizwan, F.: Proof-of-work vs proof-of-stake: a comparative analysis and an approach to blockchain consensus mechanism. Int. J. Res. Appl. Sci. Eng. Technol. 6(12), 786–791 (2018)

Google Scholar 

Song, H., Zhu, N., Xue, R., He, J., Zhang, K., Wang, J.: Proof-of-contribution consensus mechanism for blockchain and its application in IPR. Inform. Process. Manag. (2021). https://doi.org/10.1016/j.ipm.2021.102507

Article  Google Scholar 

Sun, Y., Yan, B., Yao, Y., Yu, J.: Dt-dpos: a delegated proof of stake consensus algorithm with dynamic trust. Proc. Comput. Sci. 1(187), 371–376 (2021). https://doi.org/10.1016/j.procs.2021.04.113

Article  Google Scholar 

Thanujan, T., Rajapakse, C.: A community-based hybrid blockchain architecture for the organic food supply chain. Int. Res. Conf. Smart Comput. Syst. Eng. (SCSE) (2021). https://doi.org/10.1109/SCSE53661.2021.9568325

Article  Google Scholar 

Upadrista, V., Nazir, S., Tianfield, H.: Secure data sharing with blockchain for remote health monitoring applications: a review. J. Reliable Intell. Environ. 11, 1–20 (2023). https://doi.org/10.1007/s40860-023-00204-w

Article  Google Scholar 

Wang, B., Li, Z., Li, H.: Hybrid consensus algorithm based on modified proof-of-probability and DPoS. Future Internet (2020a). https://doi.org/10.3390/fi12080122

Article  Google Scholar 

Wang, E.K., Sun, R., Chen, C.M., Liang, Z., Kumari, S., Khan, M.K.: Proof of X-repute blockchain consensus protocol for IoT systems. Comput. Secur. 1(95), 101871 (2020b). https://doi.org/10.1016/j.cose.2020.101871

Article  Google Scholar 

Wenli Yang, S.G.: A hybrid consensus algorithm for master-slave blockchain in a multi-domain conversation system. Exp. Syst. Appl. 204(15), 117300 (2022). https://doi.org/10.1016/j.eswa.2022.117300

Article  Google Scholar 

Wu, Y., Song, P., Wang, F.: Hybrid consensus algorithm optimization: a mathematical method based on pos and pbft and its application in blockchain. Math. Probl. Eng. 13, 2020 (2020). https://doi.org/10.1155/2020/7270624

Article  Google Scholar 

Xiao Feng, Lu., Jiang, C.: TEEDAG: a high-throughput distributed ledger based on TEE and directed acyclic graph. Electron. J. Graph Theory Appl., Electron. 12(11), 2393 (2023). https://doi.org/10.3390/electronics12112393

Article  Google Scholar 

Zheng, X., Feng, W.: Research on Practical byzantine fault tolerant consensus algorithm based on blockchain’. J. Phys. Conf. (2021). https://doi.org/10.1088/1742-6596/1802/3/032022

Article  Google Scholar 

Comments (0)

No login
gif