A Novel Secure and Decentralized Model for Authentication and Data Integrity in IoT-Based Cyber-Physical Healthcare System

Hijriani Hijriani, Muhamad Yusuf, Reem Abduljaleel Khaleel and Banan Yousif Ahmed

References:

1. P. Rani and M. H. Falaah, “Real-Time Congestion Control and Load Optimization in Cloud-MANETs Using Predictive Algorithms,” NJF Intell. Eng. J., vol. 1, no. 1, pp. 66–76, 2024.
2. A. Singh et al., “Smart Traffic Monitoring Through Real-Time Moving Vehicle Detection Using Deep Learning via Aerial Images for Consumer Application,” IEEE Trans. Consum. Electron., vol. 70, no. 4, pp. 7302–7309, Nov. 2024, doi: 10.1109/TCE.2024.3445728.
3. A. Ali et al., “Performance analysis of AF, DF and DtF relaying techniques for enhanced cooperative communication,” in Proc. 6th Int. Conf. Innovative Computing Technology (INTECH), Dublin, Ireland: IEEE, Aug. 2016, pp. 594–599, doi: 10.1109/INTECH.2016.7845056.
4. P. Rani et al., “Federated Learning-Based Misbehavior Detection for the 5G-Enabled Internet of Vehicles,” IEEE Trans. Consum. Electron., vol. 70, no. 2, pp. 4656–4664, May 2024, doi: 10.1109/TCE.2023.3328020.
5. Z. Mushtaq et al., “Automatic Agricultural Land Irrigation System by Fuzzy Logic,” in Proc. 3rd Int. Conf. Information Science and Control Engineering (ICISCE), Beijing, China: IEEE, Jul. 2016, pp. 871–875, doi: 10.1109/ICISCE.2016.190.
6. A. Azaria, A. Ekblaw, T. Vieira, and A. Lippman, “MedRec: Using Blockchain for Medical Data Access and Permission Management,” in Proc. 2nd Int. Conf. Open and Big Data (OBD), Vienna, Austria: IEEE, Aug. 2016, pp. 25–30, doi: 10.1109/OBD.2016.11.
7. M. Hasnain, M. F. Pasha, I. Ghani, B. Mehboob, M. Imran, and A. Ali, “Benchmark Dataset Selection of Web Services Technologies: A Factor Analysis,” IEEE Access, vol. 8, pp. 53649–53665, 2020, doi: 10.1109/ACCESS.2020.2979253.
8. A. Ali et al., “Security, Privacy, and Reliability in Digital Healthcare Systems Using Blockchain,” Electronics, vol. 10, no. 16, p. 2034, Aug. 2021, doi: 10.3390/electronics10162034.
9. P. Rani, P. N. Singh, S. Verma, N. Ali, P. K. Shukla, and M. Alhassan, “An implementation of modified blowfish technique with honey bee behavior optimization for load balancing in cloud system environment,” Wirel. Commun. Mob. Comput., vol. 2022, pp. 1–14, 2022.
10. A. Ali, M. Naveed, M. Mehboob, H. Irshad, and P. Anwar, “An interference aware multi-channel MAC protocol for WASN,” in Proc. Int. Conf. Innovations in Electrical Engineering and Computational Technologies (ICIEECT), Karachi, Pakistan: IEEE, Apr. 2017, pp. 1–9, doi: 10.1109/ICIEECT.2017.7916523.
11. S. S. Gill et al., “Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots,” Internet Things Cyber-Phys. Syst., vol. 4, pp. 19–23, 2024, doi: 10.1016/j.iotcps.2023.06.002.
12. P. Rani and R. Sharma, “Intelligent transportation system for internet of vehicles based vehicular networks for smart cities,” Comput. Electr. Eng., vol. 105, p. 108543, 2023.
13. N. Kumar, P. Rani, V. Kumar, S. V. Athawale, and D. Koundal, “THWSN: Enhanced energy-efficient clustering approach for three-tier heterogeneous wireless sensor networks,” IEEE Sens. J., vol. 22, no. 20, pp. 20053–20062, 2022.
14. A. Singh et al., “Blockchain-Based Lightweight Authentication Protocol for Next-Generation Trustworthy Internet of Vehicles Communication,” IEEE Trans. Consum. Electron., vol. 70, no. 2, pp. 4898–4907, May 2024, doi: 10.1109/TCE.2024.3351221.
15. Y. Wang, A. Zhang, P. Zhang, and H. Wang, “Cloud-Assisted EHR Sharing With Security and Privacy Preservation via Consortium Blockchain,” IEEE Access, vol. 7, pp. 136704–136719, 2019, doi: 10.1109/ACCESS.2019.2943153.
16. Y. Zhuang, L. R. Sheets, Y.-W. Chen, Z.-Y. Shae, J. J. P. Tsai, and C.-R. Shyu, “A Patient-Centric Health Information Exchange Framework Using Blockchain Technology,” IEEE J. Biomed. Health Inform., vol. 24, no. 8, pp. 2169–2176, Aug. 2020, doi: 10.1109/JBHI.2020.2993072.
17. Y. Yang et al., “Medshare: A Novel Hybrid Cloud for Medical Resource Sharing Among Autonomous Healthcare Providers,” IEEE Access, vol. 6, pp. 46949–46961, 2018, doi: 10.1109/ACCESS.2018.2865535.
18. F. Deng, Y. Wang, L. Peng, H. Xiong, J. Geng, and Z. Qin, “Ciphertext-Policy Attribute-Based Signcryption With Verifiable Outsourced Designcryption for Sharing Personal Health Records,” IEEE Access, vol. 6, pp. 39473–39486, 2018, doi: 10.1109/ACCESS.2018.2843778.
19. A. A. Shah, G. Piro, L. A. Grieco, and G. Boggia, “A qualitative cross-comparison of emerging technologies for software-defined systems,” in Proc. 6th Int. Conf. Software Defined Systems (SDS), IEEE, 2019, pp. 138–145. Accessed: Apr. 03, 2025. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8768566/.
20. B. Jia, T. Zhou, W. Li, Z. Liu, and J. Zhang, “A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks,” Sensors, vol. 18, no. 11, p. 3894, Nov. 2018, doi: 10.3390/s18113894.
21. A. Shah, G. Piro, L. Grieco, and G. Boggia, “A review of forwarding strategies in transport software-defined networks,” in Proc. 22nd Int. Conf. Transparent Optical Networks (ICTON), 2020, pp. 1–4, doi: 10.1109/ICTON51198.2020.9203103.
22. T. M. Fernández-Caramés, I. Froiz-Míguez, O. Blanco-Novoa, and P. Fraga-Lamas, “Enabling the Internet of Mobile Crowdsourcing Health Things: A Mobile Fog Computing, Blockchain and IoT Based Continuous Glucose Monitoring System for Diabetes Mellitus Research and Care,” Sensors, vol. 19, no. 15, p. 3319, Jul. 2019, doi: 10.3390/s19153319.
23. A. Beebeejaun, “VAT on foreign digital services in Mauritius; a comparative study with South Africa,” Int. J. Law Manag., vol. 63, no. 2, pp. 239–250, Feb. 2021, doi: 10.1108/IJLMA-09-2020-0244.
24. A. Cirstea, F. M. Enescu, N. Bizon, C. Stirbu, and V. M. Ionescu, “Blockchain Technology Applied in Health: The Study of Blockchain Application in the Health System (II),” in Proc. 10th Int. Conf. Electronics, Computers and Artificial Intelligence (ECAI), Iasi, Romania: IEEE, Jun. 2018, pp. 1–4, doi: 10.1109/ECAI.2018.8679029.
25. R. R. Bruce, J. P. Cunard, and M. D. Director, From Telecommunications to Electronic Services: A Global Spectrum of Definitions, Boundary Lines, and Structures. Oxford, UK: Butterworth-Heinemann, 2014. Accessed: Apr. 03, 2025. [Online]. Available: https://books.google.com/books?id=AEeeBQAAQBAJ.
26. P. Rani, U. C. Garjola, and H. Abbas, “A Predictive IoT and Cloud Framework for Smart Healthcare Monitoring Using Integrated Deep Learning Model,” NJF Intell. Eng. J., vol. 1, no. 1, pp. 53–65, 2024.
27. A. Yazdinejad, G. Srivastava, R. M. Parizi, A. Dehghantanha, K.-K. R. Choo, and M. Aledhari, “Decentralized Authentication of Distributed Patients in Hospital Networks Using Blockchain,” IEEE J. Biomed. Health Inform., vol. 24, no. 8, pp. 2146–2156, Aug. 2020, doi: 10.1109/JBHI.2020.2969648.
28. A. Singh et al., “Resilient wireless sensor networks in industrial contexts via energy-efficient optimization and trust-based secure routing,” Peer–Peer Netw. Appl., vol. 18, no. 3, p. 132, Jun. 2025, doi: 10.1007/s12083-025-01946-5.
29. A. Ali, M. Naveed, M. Mehboob, H. Irshad, and P. Anwar, “An interference aware multi-channel MAC protocol for WASN,” in Proc. Int. Conf. Innovations in Electrical Engineering and Computational Technologies (ICIEECT), IEEE, 2017, pp. 1–9. Accessed: Apr. 03, 2025. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/7916523/.
30. M. M. Nair, A. K. Tyagi, and R. Goyal, “Medical Cyber Physical Systems and Its Issues,” Procedia Comput. Sci., vol. 165, pp. 647–655, 2019, doi: 10.1016/j.procs.2020.01.059.
31. X. Liu, B. Xu, X. Wang, K. Zheng, K. Chi, and X. Tian, “Impacts of Sensing Energy and Data Availability on Throughput of Energy Harvesting Cognitive Radio Networks,” IEEE Trans. Veh. Technol., vol. 72, no. 1, pp. 747–759, Jan. 2023, doi: 10.1109/TVT.2022.3204310.