A Novel Hybrid Optimization Approach for Securing Health Information using Block Chain

Authors

  • Sunil Gupta Associate professor, School of Computer Science & System, JAIPUR NAITONAL UNIVERSITY, JAIPUR, India
  • Ritika Mehra Professor, School of Engineering and Computer, Dev Bhoomi Uttarakhand University, Uttarakhand, India
  • Srikanth V. Associate Professor, Department of Computer Science and IT, Jain(Deemed-to-be University), Bangalore-27, India
  • Mohan Vishal Gupta Assistant Professor, College of Computing Science and Information Technology, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India

Keywords:

Healthcare system, security, block chain, elephant herding integrated salp swarm optimization (EHISSO)

Abstract

Protecting patients' medical records from unapproved entry, communicating with transports such as ambulances, and employing intelligent electronic health monitoring. Due to a lack pertaining to the countless the healthcare system's expert design of security protocols, numerous security risks exist, including authenticity and data sharing, and medical data transmission. In such instances, Utilization of the block chain protocol. This study proposes an scalable block chain network for healthcare data security utilizing a novel elephant herding integrated salp swarm optimization (EHISSO) to generate a wise with a safe healthcare infrastructure. In the context, block chain is a distributed ledger that distributed ledger system and distributed ledger technology comprised of multiple segments connected by digital signature schemes and consensus mechanisms, and a a series of hashes, and provides highly secure storage capabilities. EHISSO is used to optimize the parameters of including block capacity, number of transactions, and the quantity of block chain channels. With the evolution of EHISSO, provide new features that improve protection and scalability. For healthcare technologies, the experimental results of the recommended procedure are greater to those of conventional approaches such as KNN, LSTM, and VGG.

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References

Hasselgren, A., Kralevska, K., Gligoroski, D., Pedersen, S.A. and Faxvaag, A., 2020. Blockchain in healthcare and health sciences—A scoping review. International Journal of Medical Informatics, 134, p.104040.

Shen, B., Guo, J. and Yang, Y., 2019. MedChain: Efficient healthcare data sharing via blockchain. Applied sciences, 9(6), p.1207.

Li, H., Zhu, L., Shen, M., Gao, F., Tao, X. and Liu, S., 2018. Blockchain-based data preservation system for medical data. Journal of medical systems, 42, pp.1-13.

Wang, X., Zha, X., Ni, W., Liu, R.P., Guo, Y.J., Niu, X. and Zheng, K., 2019. Survey on blockchain for Internet of Things. Computer Communications, 136, pp.10-29.

Puthal, D., Malik, N., Mohanty, S.P., Kougianos, E. and Yang, C., 2018. The blockchain as a decentralized security framework [future directions]. IEEE Consumer Electronics Magazine, 7(2), pp.18-21.

Jiang, S., Cao, J., Wu, H., Yang, Y., Ma, M. and He, J., 2018, June. Blochie: a blockchain-based platform for healthcare information exchange. In 2018 ieee international conference on smart computing (smartcomp) (pp. 49-56). IEEE.

Rajan, S. ., & Joseph, L. . (2023). An Adaptable Optimal Network Topology Model for Efficient Data Centre Design in Storage Area Networks. International Journal on Recent and Innovation Trends in Computing and Communication, 11(2s), 43–50. https://doi.org/10.17762/ijritcc.v11i2s.6027

Abu-Elezz, I., Hassan, A., Nazeemudeen, A., Househ, M. and Abd-Alrazaq, A., 2020. The benefits and threats of blockchain technology in healthcare: A scoping review. International Journal of Medical Informatics, 142, p.104246.

Chukwu, E. and Garg, L., 2020. A systematic review of blockchain in healthcare: frameworks, prototypes, and implementations. Ieee Access, 8, pp.21196-21214.

De Aguiar, E.J., Faiçal, B.S., Krishnamachari, B. and Ueyama, J., 2020. A survey of blockchain-based strategies for healthcare. ACM Computing Surveys (CSUR), 53(2), pp.1-27.

Esmaeilzadeh, P. and Mirzaei, T., 2019. The potential of blockchain technology for health information exchange: experimental study from patients’ perspectives. Journal of medical Internet research, 21(6), p.e14184.

Hasselgren, A., Kralevska, K., Gligoroski, D., Pedersen, S.A. and Faxvaag, A., 2020. Blockchain in healthcare and health sciences—a scoping review. International Journal of Medical Informatics, 134, p.104040.

Minoli, D. and Occhiogrosso, B., 2018. Blockchain mechanisms for IoT security. Internet of Things, 1, pp.1-13.

Javed, M.U., Rehman, M., Javaid, N., Aldegheishem, A., Alrajeh, N. and Tahir, M., 2020. Blockchain-based secure data storage for distributed vehicular networks. Applied Sciences, 10(6), p.2011.

Deepa, N., Pham, Q.V., Nguyen, D.C., Bhattacharya, S., Prabadevi, B., Gadekallu, T.R., Maddikunta, P.K.R., Fang, F. and Pathirana, P.N., 2022. A survey on blockchain for big data: approaches, opportunities, and future directions. Future Generation Computer Systems.

Hussien, H.M., Yasin, S.M., Udzir, S.N.I., Zaidan, A.A. and Zaidan, B.B., 2019. A systematic review for enabling of develops a blockchain technology in healthcare application: taxonomy, substantially analysis, motivations, challenges, recommendations and future direction. Journal of medical systems, 43, pp.1-35.

Deshpande, V. (2021). Layered Intrusion Detection System Model for The Attack Detection with The Multi-Class Ensemble Classifier . Machine Learning Applications in Engineering Education and Management, 1(2), 01–06. Retrieved from http://yashikajournals.com/index.php/mlaeem/article/view/10

Vangala, A., Das, A.K., Kumar, N. and Alazab, M., 2020. Smart secure sensing for IoT-based agriculture: Blockchain perspective. IEEE Sensors Journal, 21(16), pp.17591-17607.

Gupta, R., Tanwar, S., Tyagi, S., Kumar, N., Obaidat, M.S. and Sadoun, B., 2019, August. Habits: Blockchain-based telesurgery framework for healthcare 4.0. In 2019 international conference on computer, information and telecommunication systems (CITS) (pp. 1-5). IEEE.

Parvin, S., Nimmy, S.F., Venkatraman, S., Abed, S.E. and Gawanmeh, A., 2021. A KNN approach for blockchain based electronic health record analysis. In Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (pp. 455-464). Springer International Publishing.

Li, Z., Guo, H., Barenji, A.V., Wang, W.M., Guan, Y. and Huang, G.Q., 2020. A sustainable production capability evaluation mechanism based on blockchain, LSTM, analytic hierarchy process for supply chain network. International Journal of Production Research, 58(24), pp.7399-7419.

Ramanan, M., Singh, L., Kumar, A.S., Suresh, A., Sampathkumar, A., Jain, V. and Bacanin, N., 2022. Secure blockchain enabled Cyber-Physical health systems using ensemble convolution neural network classification. Computers and Electrical Engineering, 101, p.108058.

Parvin, S., Nimmy, S.F., Venkatraman, S., Abed, S.E. and Gawanmeh, A., 2021. A KNN approach for blockchain based electronic health record analysis. In Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (pp. 455-464). Springer International Publishing.

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Published

11.07.2023

How to Cite

Gupta, S. ., Mehra, R. ., V., S. ., & Gupta, M. V. . (2023). A Novel Hybrid Optimization Approach for Securing Health Information using Block Chain. International Journal of Intelligent Systems and Applications in Engineering, 11(8s), 157–163. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3035

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