Developed A Hybrid Optimal Feature Vector Selection with Blockchain Technology for Smart Healthcare 4.0

Article Sidebar

PDF
Published: Oct 27, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i9.8335
Keywords:
Blockchain, Orthogonal Wolf Optimization, IOT, Data Security, HOFVS-BT Blockchain, HOFVS-BT

Main Article Content

Gunanidhi G S
School of Computing Sciences, Hindustan Institute of Technology and Science, Padur, India
P. Selvi Rajendiran
School of Computing Sciences, Hindustan Institute of Technology and Science, Padur, India

Abstract

The health economy has been an innovative technology since time-honored. Preserving and maintaining patient data are essential in a routine life. Patient’s medical information is very important for every individual not only for patients but also for doctors who are examining them. Advances in sensing technology, processing of data, and communication protocols have transformed the healthcare industry. Patients, physicians, hospitals, and other stakeholder may keep vital data and medical records with the use of electronic healthcare records (EHR). The goal of research should be to develop a Hybrid Optimal Feature Vector Selection with Blockchain Technology (HOFVS-BT) for smart healthcare 4.0 to improve the secure transmission of data which is supported intelligent IoT and medical detection platform possible. For Feature vector selection, proposed an Orthogonal Wolf Optimization (OWO) algorithm. Furthermore, safeguarding private patient details is taken into account by establishing an upgraded Blockchain-based IoT data security solution that not only secures the data, but also fosters trust between patients/users and healthcare service providers.

Article Details

How to Cite
G S, G. ., & Rajendiran, P. S. . (2023). Developed A Hybrid Optimal Feature Vector Selection with Blockchain Technology for Smart Healthcare 4.0. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 199–206. https://doi.org/10.17762/ijritcc.v11i9.8335
Issue
Vol. 11 No. 9 (2023)
Section
Articles

References

Vaiyapuri, T., Binbusayyis, A., & Varadarajan, V. (2021). “Security, privacy and trust in IoMT enabled smart healthcare system: a systematic review of current and future trends”. International Journal of Advanced Computer Science and Applications, 12(2).

Al-Shammari, N. K., Syed, T. H., & Syed, M. B. (2021). “An Edge–IoT framework and prototype based on blockchain for smart healthcare applications”. Engineering, Technology & Applied Science Research, 11(4), 7326-7331.

Bharimalla, P. K., Choudhury, H., Parida, S., Mallick, D. K., & Dash, S. R. (2021). “A Blockchain and NLP Based Electronic Health Record System”: Indian Subcontinent Context. Informatica, 45(4).

Iwendi, C., Anajemba, J. H., Biamba, C., & Ngabo, D. (2021). “Security of things intrusion detection system for smart healthcare”. Electronics, 10(12), 1375.

Srinivasu, P. N., Bhoi, A. K., Nayak, S. R., Bhutta, M. R., & Wo?niak, M. (2021). “Blockchain technology for secured healthcare data communication among the non-terminal nodes in IoT architecture in 5G network”. Electronics, 10(12), 1437.

Kaushal, R. K., Bhardwaj, R., Kumar, N., Aljohani, A. A., Gupta, S. K., Singh, P., & Purohit, N. (2022). “Using Mobile Computing to Provide a Smart and Secure Internet of Things (IoT) Framework for Medical Applications”. Wireless Communications and Mobile Computing, 2022.

Shinde, R., Patil, S., Kotecha, K., Potdar, V., Selvachandran, G., & Abraham, A. (2022). “Securing AI-based Healthcare Systems using Blockchain Technology”: A State-of-the-Art Systematic Literature Review and Future Research Directions. arXiv preprint arXiv:2206.04793.

Zellar, P. I. . (2021). Business Security Design Improvement Using Digitization. International Journal of New Practices in Management and Engineering, 10(01), 19–21. https://doi.org/10.17762/ijnpme.v10i01.98

Namasudra, S., & Sharma, P. (2022). “Achieving a decentralized and secure cab sharing system using blockchain technology”. IEEE Transactions on Intelligent Transportation Systems.

Teimoori, Z., Yassine, A., & Hossain, M. S. (2022). “A secure cloudlet-based charging station recommendation for electric vehicles empowered by federated learning”. IEEE Transactions on Industrial Informatics, 18(9), 6464-6473.

Kumar, R., Singh, D., Srinivasan, K., & Hu, Y. C. (2022, December). “AI-Powered Blockchain Technology for Public Health: A Contemporary Review, Open Challenges, and Future Research Directions”. In Healthcare (Vol. 11, No. 1, p. 81). MDPI.

Singh, S., Rathore, S., Alfarraj, O., Tolba, A., & Yoon, B. (2022). “A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology”. Future Generation Computer Systems, 129, 380-388.

Kumar, M., Verma, S., Kumar, A., Ijaz, M. F., & Rawat, D. B. (2022). “ANAF-IoMT: A Novel Architectural Framework for IoMT-Enabled Smart Healthcare System by Enhancing Security Based on RECC-VC”. IEEE Transactions on Industrial Informatics, 18(12), 8936-8943.

Neelakandan, S., Beulah, J. R., Prathiba, L., Murthy, G. L. N., Irudaya Raj, E. F., & Arulkumar, N. (2022). “Blockchain with deep learning-enabled secure healthcare data transmission and diagnostic model”. International Journal of Modeling, Simulation, and Scientific Computing, 13(04), 2241006.

Hu, J., Liang, W., Hosam, O., Hsieh, M. Y., & Su, X. (2022). “5GSS: a framework for 5G-secure-smart healthcare monitoring”. Connection Science, 34(1), 139-161.

Ghazal, T. M., Hasan, M. K., Abdullah, S. N. H. S., Bakar, K. A. A., & Al Hamadi, H. (2022). “Private blockchain-based encryption framework using computational intelligence approach”. Egyptian Informatics Journal, 23(4), 69-75.

Al-Safi, H., Munilla, J., & Rahebi, J. (2022). “Patient privacy in smart cities by blockchain technology and feature selection with Harris Hawks Optimization (HHO) algorithm and machine learning”. Multimedia Tools and Applications, 81(6), 8719-8743.

Li, D., Luo, Z., & Cao, B. (2022). “Blockchain-based federated learning methodologies in smart environments”. Cluster Computing, 25(4), 2585-2599.

Adil, M., Khan, M. K., Jadoon, M. M., Attique, M., Song, H., & Farouk, A. (2022). “An AI-enabled hybrid lightweight Authentication scheme for intelligent IoMT based cyber-physical systems”. IEEE Transactions on Network Science and Engineering.

Alabdulatif, A., Khalil, I., & Saidur Rahman, M. (2022). “Security of Blockchain and AI-Empowered Smart Healthcare: Application-Based Analysis”. Applied Sciences, 12(21), 11039.

Amponsah, A. A., Adekoya, A. F., & Weyori, B. A. (2022). “Improving the financial security of national health insurance using Cloud-based blockchain technology application”. International Journal of Information Management Data Insights, 2(1), 100081.

Kshirsagar, D. P. R. ., Patil, D. N. N. ., & Makarand L., M. . (2022). User Profile Based on Spreading Activation Ontology Recommendation. Research Journal of Computer Systems and Engineering, 3(1), 73–77. Retrieved from https://technicaljournals.org/RJCSE/index.php/journal/article/view/45

Tunc, M. A., Gures, E., & Shayea, I. (2021). “A survey on iot smart healthcare: Emerging technologies, applications, challenges, and future trends”. arXiv preprint arXiv:2109.02042.

Singh, A. K., Anand, A., Lv, Z., Ko, H., & Mohan, A. (2021). “A survey on healthcare data: a security perspective”. ACM Transactions on Multimidia Computing Communications and Applications, 17(2s), 1-26.

Al-Marridi, A. Z., Mohamed, A., & Erbad, A. (2021). “Reinforcement learning approaches for efficient and secure blockchain-powered smart health systems”. Computer Networks, 197, 108279.

Fetjah, L., Azbeg, K., Ouchetto, O., & Andaloussi, S. J. (2021). “Towards a smart healthcare system: an architecture based on IoT, blockchain, and fog computing”. International Journal of Healthcare Information Systems and Informatics (IJHISI), 16(4), 1-18.

Chattu, V. K. (2021). “A review of artificial intelligence, big data, and blockchain technology applications in medicine and global health”. Big Data and Cognitive Computing, 5(3), 41.