A Secure and Scalable Sidechain Model for Fog Computing in Healthcare Systems

Abstract

With the enormous amount of data produced daily, cloud and fog computing presented efficient and effective models for real-time data exchange. Nevertheless, this technology came with a cost at the security level, where it became an easy target for malicious actions that could quickly spread throughout the model. Blockchain, a recent and promising technology, has shown to be a suitable solution for securing transactions in the fog environment because of the distributed ledger structure that makes it resistant to many types of attacks. Scalability, however, introduced the main drawback of a blockchain by making it inefficient in some real-world applications, especially in the medical field, which includes a lot of data exchange. This work will suggest a scalable and secure model for fog and cloud computing in healthcare systems that depend on sidechains and the clustering of the available fog nodes. The importance of the model is highlighted, and experimental results showed promising outcomes.

Author Biography

Ramzi A. Haraty, Lebanese American University

Ramzi A. Haraty is an associate professor of Computer Science in the Department of Computer Science and Mathematics at the Lebanese American University in Beirut, Lebanon. He is the chairperson of the Arab Computer Society. He  is also a program evaluator (PEV) for CSAB/ABET. He received his B.S. and M.S. degrees in Computer Science from Minnesota State University - Mankato, Minnesota, and his Ph.D. in Computer Science from North Dakota State University - Fargo, North Dakota. His research interests include database management systems, artificial intelligence, and multilevel secure systems engineering. He has well over 110 books, book chapters, journal and conference paper publications. He supervised over 110 dissertations, theses and capstone projects. He is a member of the Association of Computing Machinery (ACM), ACM SIGAPP, Institute of Electronics, Information and Communication Engineers, the International Society for Computers and Their Applications, and Sybdicate of Computer Sciences in Lebanon.

References

Elhadad, A., Alanazi, F., Taloba, A. I., & Abozeid, A. (2022). Fog computing service in the Healthcare Monitoring System for managing the real-time notification. Journal of Healthcare Engineering, 2022, 1–11. https://doi.org/10.1155/2022/5337733

Alazeb, A., & Panda, B. (2019). Ensuring Data Integrity in Fog Computing Based Health-Care Systems. Security, Privacy, and Anonymity in Computation, Communication, and Storage, 63–77. https://doi.org/10.1007/978-3-030-24907-6_6

Jiang, Y., Wang, C., Wang, Y., & Gao, L. (2019). A Cross-Chain Solution to Integrating Multiple Blockchains for IoT Data Management. Sensors, 19(9), 2042. https://doi.org/10.3390/s19092042

Yi, S., Qin, Z., & Li, Q. (2015). Security and Privacy Issues of Fog Computing: A Survey. Wireless Algorithms, Systems, and Applications, pp. 685–695. https://doi.org/10.1007/978-3-319-21837-3_67

Alazeb, A., & Panda, B. (2019). Maintaining Data Integrity in Fog Computing Based Critical Infrastructure Systems. 2019 International Conference on Computational Science and Computational Intelligence (CSCI). https://doi.org/10.1109/csci49370.2019.00014

Hosseinpour, Farhoud & Amoli, Payam & Plosila, Juha & Hämäläinen, Timo & Tenhunen, Hannu. (2016). An Intrusion Detection System for Fog Computing and IoT-based Logistic Systems using a Smart Data Approach. International Journal of Digital Content Technology and its Applications. 10.

Ismail, L., & Materwala, H. (2020). Blockchain Paradigm for Healthcare: Performance Evaluation. Symmetry, 12(8), 1200. https://doi.org/10.3390/sym12081200

Ziegler, M. H., Grossmann, M., & Krieger, U. R. (2019). Integration of Fog Computing and Blockchain Technology Using the Plasma Framework. 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). https://doi.org/10.1109/bloc.2019.8751308

Blockchain Metrics | Arcitura Patterns. (n.d.). ARCITURA. Retrieved December 29, 2022, from http://patterns.arcitura.com/blockchain-patterns/blockchain-metrics

Gia, T. N., Ali, M., Dhaou, I. B., Rahmani, A. M., Westerlund, T., Liljeberg, P., & Tenhunen, H. (2017). IoT-based continuous glucose monitoring system: A feasibility study. Procedia Computer Science, 109, 327–334. https://doi.org/10.1016/j.procs.2017.05.359

Kua, J., Loke, S., Arora, C., Fernando, N., & Ranaweera, C. (2021). Internet of Things in Space: A Review of Opportunities and Challenges from Satellite-Aided Computing to Digitally-Enhanced Space Living. Sensors, 21(23), 8117. https://doi.org/10.3390/s21238117

How Google Workspace uses encryption to protect your data. (n.d.). Google. Retrieved July 21, 2022, from https://services.google.com/fh/files/misc/google-workspace-encryption-wp.pdf

Fatoum, H., Hanna, S., Halamka, J. D., Sicker, D. C., Spangenberg, P., & Hashmi, S. K. (2021). Blockchain Integration With Digital Technology and the Future of Health Care Ecosystems: Systematic Review. Journal of Medical Internet Research, 23(11), e19846. https://doi.org/10.2196/19846

Author, G. (2014, July 31). A Cautionary Tale: How a Bug in Dropbox Permanently Deleted 8,000 of My Photos. PetaPixel. https://petapixel.com/2014/07/31/cautionary-tale-bug-dropbox-permanently-deleted-8000-photos/

Squarepants, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3977007

Foley, S., Karlsen, J. R., & Putniņš, T. J. (2019). Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed through Cryptocurrencies? The Review of Financial Studies, 32(5), 1798–1853. https://doi.org/10.1093/rfs/hhz015

Jiang, Y., Wang, C., Wang, Y., & Gao, L. (2019). A Cross-Chain Solution to Integrating Multiple Blockchains for IoT Data Management. Sensors, 19(9), 2042. https://doi.org/10.3390/s19092042

Back, S.A., Corallo, M., Dashjr, L., Friedenbach, M., Maxwell, G., Miller, A.K., Poelstra, A., & Timón, J. (2014). Enabling Blockchain Innovations with Pegged.

Alam, T. (2019). IoT-Fog: A Communication Framework using blockchain in the Internet of Things. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3638991

Singh, P., Nayyar, A., Kaur, A., & Ghosh, U. (2020). Blockchain and Fog-Based Architecture for Internet of Everything in Smart Cities. Future Internet, 12(4), 61. https://doi.org/10.3390/fi12040061

Ngabo, D., Wang, D., Iwendi, C., Anajemba, J. H., Ajao, L. A., & Biamba, C. (2021). Blockchain-Based Security Mechanism for the Medical Data at Fog Computing Architecture of Internet of Things. Electronics, 10(17), 2110. https://doi.org/10.3390/electronics10172110

Agarwal, N. & Agarwal, G. (2017). Role of Cloud Computing in Development of Smart City. International Journal of Science Technology & Engineering

Devadass, L., Sekaran, S. S., & Thinakaran, R. (2017). CLOUD COMPUTING IN HEALTHCARE. International Journal of Students’ Research in Technology & Management, 5(1), 25–31. https://doi.org/10.18510/ijsrtm.2017.516

Choudhary, S. & Jadoun, R & Mandoria, H. (2016). Role of Cloud Computing Technology in Agriculture Fields. Computer Engineering and Intelligent Systems. 7. 2222-2863.

Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012). Fog computing and its role in the internet of things. Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing - MCC ’12. https://doi.org/10.1145/2342509.2342513

Ema, R. R., Islam, T., & Ahmed, M. H. (2019). Suitability of Using Fog Computing Alongside Cloud Computing. 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT). https://doi.org/10.1109/icccnt45670.2019.8944906

Du, H., Leng, S., Wu, F., Chen, X., & Mao, S. (2020). A New Vehicular Fog Computing Architecture for Cooperative Sensing of Autonomous Driving. IEEE Access, 8, 10997–11006. https://doi.org/10.1109/access.2020.2964029

Elhadad, A., Alanazi, F., Taloba, A. I., & Abozeid, A. (2022). Fog Computing Service in the Healthcare Monitoring System for Managing the Real-Time Notification. Journal of Healthcare Engineering, 2022, 1–11. https://doi.org/10.1155/2022/5337733

Quy, V. K., Hau, N. V., Anh, D. V., & Ngoc, L. A. (2021). Smart healthcare IoT applications based on fog computing: architecture, applications, and challenges. Complex & Intelligent Systems. https://doi.org/10.1007/s40747-021-00582-9

Awaisi, K. S., Hussain, S., Ahmed, M., Khan, A. A., & Ahmed, G. (2020). Leveraging IoT and Fog Computing in Healthcare Systems. IEEE Internet of Things Magazine, 3(2), 52–56. https://doi.org/10.1109/iotm.0001.1900096

Al-khafajiy, M., Baker, T., Asim, M., Guo, Z., Ranjan, R., Longo, A., Puthal, D., & Taylor, M. (2020). COMMITMENT: A Fog Computing Trust Management Approach. Journal of Parallel and Distributed Computing, 137, 1–16. https://doi.org/10.1016/j.jpdc.2019.10.006

Gu, K., Dong, X., & Jia, W. (2022). Malicious Node Detection Scheme Based on Correlation of Data and Network Topology in Fog Computing-Based VANETs. IEEE Transactions on Cloud Computing, 10(2), 1215–1232. https://doi.org/10.1109/tcc.2020.2985050

Fantacci, R., Nizzi, F., Pecorella, T., Pierucci, L., & Roveri, M. (2019). False Data Detection for Fog and Internet of Things Networks. Sensors, 19(19), 4235. https://doi.org/10.3390/s19194235

Ahanger, T. A., Tariq, U., Ibrahim, A., Ullah, I., Bouteraa, Y., & Gebali, F. (2022). Securing IoT-Empowered Fog Computing Systems: Machine Learning Perspective. Mathematics, 10(8), 1298. https://doi.org/10.3390/math10081298

Mayer, A. H., Rodrigues, V. F., Costa, C. A., Righi, R. da, Roehrs, A., & Antunes, R. S. (2021). Fogchain: A fog computing architecture integrating blockchain and internet of things for personal health records. IEEE Access, 9, 122723–122737. https://doi.org/10.1109/access.2021.3109822

Na, S., Xumin, L., & Yong, G. (2010). Research on k-means Clustering Algorithm: An Improved k-means Clustering Algorithm. 2010 Third International Symposium on Intelligent Information Technology and Security Informatics. https://doi.org/10.1109/iitsi.2010.74

Poon, J., & Buterin, V. (2017). Plasma: Scalable Autonomous Smart Contracts. Scalable Autonomous Smart Contracts. https://plasma.io/

Authors

  • Ramzi A. Haraty Lebanese American University
  • Ali Amhaz

DOI:

https://doi.org/10.31449/inf.v49i1.5580

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Published

03/10/2025

How to Cite

Haraty, R. A., & Amhaz, A. (2025). A Secure and Scalable Sidechain Model for Fog Computing in Healthcare Systems. Informatica, 49(1). https://doi.org/10.31449/inf.v49i1.5580

Issue

Vol. 49 No. 1 (2025)

Section

Regular papers

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