An Intelligent Healthcare Framework for Data Security Based on Blockchain and Internet of Things

Authors

  • Sharda Tiwari Department of Computer Science & Engineering, Amity University, Lucknow, Uttar Pradesh
  • Dr. Namrata Dhanda Department of Computer Science & Engineering, Amity University, Lucknow, Uttar Pradesh
  • Dr. Harsh Dev Department of Computer Science & Engineering, Pranveer Singh Institute of Technology, Kanpur

Keywords:

Blockchain, Encryption, IoT, Health, Security

Abstract

A blockchain network offers flexible and trustworthy solutions for the storage of sensitive data like patient’s medical records. Nowadays IoT devices are used to connect and transmit sensed information between object and human using internet. IoT has major applications in almost all the sectors like smart transportation, cities, and healthcare etc. In healthcare sector a doctor can monitor the patient parameters remotely in case of any emergency. The wearable IoT device is continuously sense the patient parameters and export the data over cloud or any storage unit. The accurate previous data and real time sensed data must be shared with doctor immediately during an emergency. In this paper the aim is to improves the functionality of healthcare system by integrating IoT system with blockchain network which is used to store all the sensed data by IoT devices.

Downloads

Download data is not yet available.

References

P. Malhotra, Y. Singh, P. Anand, D. K. Bangotra, P. K. Singh, and W. C. Hong, “Internet of things: Evolution, concerns and security challenges,” Sensors, vol. 21, no. 5, pp. 1–35, 2021, doi: 10.3390/s21051809.

X. Yao, F. Farha, R. Li, I. Psychoula, L. Chen, and H. Ning, “Security and privacy issues of physical objects in the IoT: Challenges and opportunities,” Digit. Commun. Networks, vol. 7, no. 3, pp. 373–384, 2020, doi: 10.1016/j.dcan.2020.09.001.

J. Neeli and S. Patil, “Insight to security paradigm , research trend & statistics in internet of things(IoT),” Glob. Transitions Proc., vol. 2, no. 1, pp. 84–90, 2021, doi: 10.1016/j.gltp.2021.01.012.

M. S. Gross and R. C. Miller, “Ethical Implementation of the Learning Healthcare System with Blockchain Technology,” Blockchain Healthc. Today, vol. 2, no. July, 2019, doi: 10.30953/bhty.v2.113.

J. Y. Lee and J. Lee, “Current Research Trends in IoT Security: A Systematic Mapping Study,” Mob. Inf. Syst., 2021, doi: 10.1155/2021/8847099.

G. Rathee, A. Sharma, H. Saini, R. Kumar, and R. Iqbal, “A hybrid framework for multimedia data processing in IoT-healthcare using blockchain technology,” Multimed. Tools Appl., vol. 79, no. 15–16, pp. 9711–9733, 2020, doi: 10.1007/s11042-019-07835-3.

A. Ali et al., “An Industrial IoT-Based Blockchain-Enabled Secure Searchable Neural Network,” Sensors, vol. 22, no. January, 2022.

G. Huang and A. Al Foysal, “Blockchain in Healthcare,” Technol. Invest., vol. 12, no. 03, pp. 168–181, 2021, doi: 10.4236/ti.2021.123010.

A. Banotra, J. S. Sharma, S. Gupta, S. K. Gupta, and M. Rashid, “Use of Blockchain and Internet of Things for Securing Data in Healthcare Systems,” Multimed. Secur. Algorithms Intell. Syst., vol. 31, no. January, pp. 255–267, 2021, doi: 10.1007/978-981-15-8711-5_13.

Vanitha, D. D. . (2022). Comparative Analysis of Power switches MOFET and IGBT Used in Power Applications. International Journal on Recent Technologies in Mechanical and Electrical Engineering, 9(5), 01–09. https://doi.org/10.17762/ijrmee.v9i5.368

Q. Qu, R. Xu, Y. Chen, E. Blasch, and A. Aved, “Enable Fair Proof-of-Work (PoW) Consensus for Blockchains in IoT by Miner Twins (MinT),” Futur. Internet, vol. 13, no. 11, p. 291, 2021, doi: 10.3390/fi13110291.

Kadhim, R. R., and M. Y. Kamil. “Evaluation of Machine Learning Models for Breast Cancer Diagnosis Via Histogram of Oriented Gradients Method and Histopathology Images”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 10, no. 4, Apr. 2022, pp. 36-42, doi:10.17762/ijritcc.v10i4.5532.

S. Algarni et al., “Blockchain-based secured access control in an iot system,” Appl. Sci., vol. 11, no. 4, pp. 1–16, 2021, doi: 10.3390/app11041772.

J. Warraich, C. Singh, and P. Thapa, “Blockchain-based Intelligent Monitored Security System for Detection of Replication Attack in the Wireless Healthcare Network,” Eur. J. Eng. Technol. Res., vol. 6, no. 6, pp. 160–170, 2021, doi: 10.24018/ej-eng.2021.6.6.2599.

A. Sharma, S. Kaur, and M. Singh, “A comprehensive review on blockchain and Internet of Things in healthcare,” Trans. Emerg. Telecommun. Technol., vol. 32, no. 10, pp. 1–53, 2021, doi: 10.1002/ett.4333.

P. Ratta, A. Kaur, S. Sharma, M. Shabaz, and G. Dhiman, “Application of Blockchain and Internet of Things in Healthcare and Medical Sector: Applications, Challenges, and Future Perspectives,” J. Food Qual., vol. 8, no. 3, 2021, doi: 10.1155/2021/7608296.

E. Westphal and H. Seitz, “Digital and Decentralized Management of Patient Data in Healthcare Using Blockchain Implementations,” Front. Blockchain, vol. 4, no. August, pp. 1–6, 2021, doi: 10.3389/fbloc.2021.732112.

I. Technology, “BLOCKCHAIN-BASED SECURITY FRAMEWORK FOR THE by,” no. May, 2021.

Pepsi M, B. B. ., V. . S, and A. . A. “Tree Based Boosting Algorithm to Tackle the Overfitting in Healthcare Data”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 10, no. 5, May 2022, pp. 41-47, doi:10.17762/ijritcc.v10i5.5552.

S. Jeong, J. H. Shen, and B. Ahn, “A Study on Smart Healthcare Monitoring Using IoT Based on Blockchain,” Wirel. Commun. Mob. Comput., vol. 14, no. 7, 2021, doi: 10.1155/2021/9932091.

C. Nartey et al., “Blockchain-IoT peer device storage optimization using an advanced time-variant multi-objective particle swarm optimization algorithm,” EURASIP J. Wirel. Commun. Netw., vol. 2022, no. 1, 2022, doi: 10.1186/s13638-021-02074-3.

R. Arul, R. Alroobaea, U. Tariq, A. H. Almulihi, F. S. Alharithi, and U. Shoaib, “IoT-enabled healthcare systems using block chain-dependent adaptable services,” Pers. Ubiquitous Comput., 2021, doi: 10.1007/s00779-021-01584-7.

S. Khatri, F. A. Alzahrani, M. T. J. Ansari, A. Agrawal, R. Kumar, and R. A. Khan, “A Systematic Analysis on Blockchain Integration with Healthcare Domain: Scope and Challenges,” IEEE Access, vol. 9, pp. 84666–84687, 2021, doi: 10.1109/ACCESS.2021.3087608.

Kuila, S., Dhanda, N., Joardar, S., & Neogy, S. (2019). Analytical survey on standards of Internet of Things framework and platforms. In Emerging Technologies in Data Mining and Information Security (pp. 33-44). Springer, Singapore.

Kuila, S., Dhanda, N., Joardar, S., Neogy, S., & Kuila, J. (2019). A generic survey on medical big data analysis using internet of things. In First International Conference on Artificial Intelligence and Cognitive Computing (pp. 265-276). Springer, Singapore.

Joy, P., Thanka, R., & Edwin, B. (2022). Smart Self-Pollination for Future Agricultural-A Computational Structure for Micro Air Vehicles with Man-Made and Artificial Intelligence. International Journal of Intelligent Systems and Applications in Engineering, 10(2), 170–174. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/1743

Gill, D. R. . (2022). A Study of Framework of Behavioural Driven Development: Methodologies, Advantages, and Challenges. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 8(2), 09–12. https://doi.org/10.17762/ijfrcsce.v8i2.2068

Verma, R., Dhanda, N., & Nagar, V. (2022). Security Concerns in IoT Systems and Its Blockchain Solutions. In Cyber Intelligence and Information Retrieval (pp. 485-495). Springer, Singapore.

Tiwari, S., Dhanda, N., & Dev, H. (2022). A Systematic Review of Adoption of Blockchain and Machine Learning Technology and Its Application. Soft Computing for Security Applications, 73-95.

Blockchain Based Healthcare Framework

Downloads

Published

01.10.2022

How to Cite

[1]
S. . Tiwari, D. N. . Dhanda, and D. H. . Dev, “An Intelligent Healthcare Framework for Data Security Based on Blockchain and Internet of Things”, Int J Intell Syst Appl Eng, vol. 10, no. 3, pp. 95–102, Oct. 2022.

Issue

Vol. 10 No. 3 (2022)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.