Abstract
Blockchain technology is now regarded as one of the most interesting and possibly innovative technologies. It enables information to be stored and exchanged securely and transparently without the need for a centralized authority to regulate it. A few of the primary benefits of this technology is the atomicity of the stored data. Given its features, this technology has the potential to give answers to challenges encountered in a very sensitive sector, notably healthcare. The medical field is dealing with several issues that some are attempting to address today. The most important are the administration of medical records and the claims process, the acceleration of clinical and biomedical research, and the advancement of the biomedical and health data registry. The major challenge is the processing and analysis of patient records due to the large amount of data collected. The security of this data is another challenge to consider. Due to the high connectivity, these systems are prone to malicious attacks. In addition, it is difficult to ensure confidentiality due to the exchange of sensitive data. This chapter discusses the use of blockchain technology in healthcare sector. The purpose of this survey was to provide an overview of the features and concepts related to security requirements of blockchain in a healthcare system. It shows that this technology has a major role in terms of security of patient’s medical data.
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References
Farooq, M., Waseem, M., Mazhar, S., et al. (2015). A review on internet of things (IoT). International Journal of Computers and Applications, 113(1), 36–54.
Zouinkhi, A., Ayadi, H., Val, T., Boussaid, B., & Abdelkrim, M. N. (2020). Auto-management of energy in IoT networks. International Journal of Communication System, 33(1), e4168.
Malcheand, T., & Maheshwary, P. (2017). Internet of things (IoT) for building smart home system. In Proceedings of the 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India (pp. 65–70). IEEE.
Minbo, L., Zhu, Z., & Guangyu, C. (2013). Informat ion service system of agriculture IoT. Automatika, 54(4), 415–426.
George, G., & Thampi, S. M. (2019). Securing smart healthcare systems from vulnerability exploitation. In G. Wang, A. El Saddik, X. Lai, G. MartInez Perez, & K. K. Choo (Eds.), Smart city and informatization. iSCI (Communications in computer and information science) (Vol. 1122). Springer.
Almalki, F. A., Othman, S. B., Almalki, F. A., & Sakli, H. (2021). EERP-DPM: Energy efficient routing protocol using dual prediction model for healthcare using IoT. Journal of Healthcare Engineering, 15, 9988038.
Almalki, F. A., & Othman, S. B. (2021). EPPDA: An efficient and privacy-preserving data aggregation scheme with authentication and authorization for IoT-based healthcare applications. Wireless Communications and Mobile Computing, 2021, 5594159.
Trab, S., Bajic, E., Zouinkhi, A., Abdelkrim, M. N., & Chekir, H. (2018). RFID IoT-enabled warehouse for safety management using product class-based storage and potential fields methods. International Journal of Embedded Systems, 10(1), 71–88.
Mohd Aman, A. H., Hassan, W. H., Sameen, S., et al. (2021). IoMT amid COVID-19 pandemic: Application, architecture, technology, and security. Journal of Network and Computer Applications, 174, 102886.
Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Retrieved from https://bitcoin.org/bitcoin.pdf.
Tasca, P., & Tessone, C. J. A taxonomy of blockchain technologies: Principles of identification and classification (p. 4). Ledger. https://doi.org/10.5195/ledger.2019.140
Manpreet, K., Mohammad, Z. K., Shikha, G., Abdulfattah, N., Chinmay, C., & Subhendu, K. P. (2021). MBCP: Performance analysis of large scale mainstream Blockchain consensus protocols. IEEE Access, 9, 1–14. https://doi.org/10.1109/ACCESS.2021.3085187
Hong-Ning, D., Zibin, Z., & Zhang, Y. (2019). Blockchain for Internet of Things: A survey. IEEE Internet of Things Journal, 6(5), 8076–8094.
Szabo, N. (1997). Smart contracts: Formalizing and securing relationships on public networks. First Monday, 2, 9–1.
Wang, S., Yuan, Y., Wang, X., Li, J., & Qin, R. (2018). An overview of smart contract: Architecture, applications, and future trends (pp. 108–113). IEEE.
Riabi, I., Ayed, H. K. B., & Saidane, L. A. (2019). A survey on Blockchain based access control for internet of things. In 15th International Wireless Communications & Mobile Computing Conference (IWCMC) (pp. 502–507). Tangier.
Bhushan, B., Sahoo, C., Sinha, P., & Khamparia, A. (2020). Unification of Blockchain and Internet of Things (BIoT): Requirements, working model, challenges and future directions. Wireless Networks. https://doi.org/10.1007/s11276-020-02445-6
Bhushan, B., Sinha, P., Sagayam, K. M., & J, A. (2021). Untangling blockchain technology: A survey on state of the art, security threats, privacy services, applications and future research directions. Computers & Electrical Engineering, 90, 106897. https://doi.org/10.1016/j.compeleceng.2020.106897
Saxena, S., Bhushan, B., & Ahad, M. A. (2021). Blockchain based solutions to secure IoT: Background, integration trends and a way forward. Journal of Network and Computer Applications, 181(5), 103050. https://doi.org/10.1016/j.jnca.2021.10305
Haque, A. K., Bhushan, B., & Dhiman, G. (2021). Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends. Expert Systems. https://doi.org/10.1111/exsy.12753
Ajay, K., Kumar, A., Bharat, B., & Chinmay, C. (2021., [SCI, IF 2.79]). Secure access control for manufacturing sector with application of Ethereum blockchain. Peer-to-Peer Networking and Applications, 14, 3058–3074. https://doi.org/10.1007/s12083-021-01108-3
Hong-Ning, D., Zibin, Z., & Zhang, Y. (2019). Blockchain for Internet of Things: A survey. IEEE Internet of Things Journal, 6(5), 8076–8094.
Ramaguru, R., Sindhu, M., & Sethumadhavan, M. (2019). Blockchain for the internet of vehicles. In M. Singh, P. Gupta, V. Tyagi, J. Flusser, T. Ă–ren, & R. Kashyap (Eds.), Advances in computing and data sciences. ICACDS (Communications in computer and information science) (Vol. 1045). Springer.
Mhamdi, H., Zouinkhi, A., & Sakli, H. (2020). Multi-agents system of vehicle services based on Blockchain. In 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) (pp. 291–296). Monastir.
Joseph, B. A., Chinmay, C., & Sakinat, O. F. (2021). A secured transaction based on Blockchain architecture in Mobile banking platform. International Journal of Internet Technology and Secured Transactions, 2021, 1–12. https://doi.org/10.1504/IJITST.2021.10039177
IBM Institute for Business Value. In Healthcare rallies for blockchains. IBM. https://www.ibm.com/downloads/cas/BBRQK3WY
Bakhtawar, A., Abdul, R. J., Chinmay, C., Jamel, N., Saira, R., & Muhammad, R. (2021). Blockchain and ANFIS empowered IoMT application for privacy preserved contact tracing in COVID-19 pandemic. Personal and Ubiquitous Computing, 2021, 1–17. https://doi.org/10.1007/s00779-021-01596-3
Jabbar, R., Fetais, N., Krichen, M., & Barkaoui, K. (2020). Blockchain technology for healthcare: Enhancing shared electronic health record interoperability and integrity. In 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT) (pp. 310–317). IEEE.
Bingqing, S., Guo, J., & Yang, Y. (2019). MedChain: Efficient healthcare data sharing via Blockchain. Applied Sciences, 9(6), 1207.
Antwi, M. S., Adnane, A., Ahmad, F., Hussain, R., Rehman, M. H. u., & Kerrache, C. A. (2021). The case of HyperLedger fabric as a blockchain solution for healthcare applications. Blockchain: Research and Applications, 2(1), 100012. https://doi.org/10.1016/j.bcra.2021.100012
Yang, Y., et al. (2018). Medshare: A novel hybrid cloud for medical resource sharing among autonomous healthcare providers. IEEE Access, 6, 46949–46961.
Fan, K., et al. (2018). Medblock: Efficient and secure medical data sharing via blockchain. Journal of Medical Systems, 42(8), 136.
Syeda, K., Faiza, N., Sahrish, M., et al. (2020). In L. Barolli et al. (Eds.), Trusted remote patient monitoring using blockchain-based smart contracts (BWCCA 2019, LNNS) (Vol. 97, pp. 765–776). Springer Nature.
Ullah Khan, A., Shahid, A., Tariq, F., et al. (2020). In L. Barolli et al. (Eds.), Enhanced decentralized management of patient-driven interoperability based on blockchain (BWCCA 2019, LNNS) (Vol. 97, pp. 815–827). Springer Nature.
Hussein, A. F., Kumar, N. A., Ramirez-Gonzalez, G., Abdulhay, E., Tavares, J. M. R. S., & de Albuquerque, V. H. C. (2018). A medical records managing and securing blockchain based system supported by a genetic algorithm and discrete wavelet transform. Cognitive Systems Research, 52, 1–11.
Zhao, H., Bai, P., Peng, Y., & Xu, R. (2018). Efficient key management scheme for health blockchain. CAAI Transactions on Intelligence Technology, 3, 114–118.
Zhao, H., Zhang, Y., Peng, Y., & Xu, R. (2017, March 22–24). Lightweight backup and efficient recovery scheme for health blockchain keys. In Proceedings of the 2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS), Bangkok, Thailand (pp. 229–234). IEEE.
Zhang, X., & Poslad, S. (2018, May 20–24). Blockchain support for flexible queries with granular access control to Electronic Medical Records (EMR). In Proceedings of the 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, USA.
Guo, R., Shi, H., Zhao, Q., & Zheng, D. (2018). Secure attribute-based signature scheme with multiple authorities for Blockchain in electronic health records systems. IEEE Access, 6, 11676–11686. https://doi.org/10.1109/ACCESS.2018.2801266
Omar, I. A., Jayaraman, R., Debe, M. S., Salah, K., Yaqoob, I., & Omar, M. (2021). Automating procurement contracts in the healthcare supply chain using Blockchain smart contracts. IEEE Access, 9, 37397–37409. https://doi.org/10.1109/ACCESS.2021.3062471
Yongjoh, S., So-In, C., Kompunt, P., Muneesawang, P., & Morien, R. I. Development of an internet-of-healthcare system using blockchain. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3103443
du LEEM, R. (2017). Contrefaçon de médicaments, une atteinte à la santépublique. Leem, juin. http://www.leem.org/sites/default/files/DP-contrefacon-06-07-2017.pdf
Clauson, A., Breeden, A., Davidson, C., & Mackey, K. Leveraging blockchain technology to enhance supply chain management in healthcare: An exploration of challenges and opportunities in the health supply chain. Blockchain in Healthcare Todayâ„¢. ISSN 2573-8240. https://doi.org/10.30953/bhty.v1.20
Khatoon, A. (2020). A Blockchain-based smart contract system for healthcare management. Electronics, 9(1), 94. https://doi.org/10.3390/electronics9010094
Casado-Vara, R., GonzĂ¡lez Briones, A., Prieto, J., & Corchado RodrĂguez, J. (2019, June). Smart contract for monitoring and control of logistics activities: Pharmaceutical utilities case study. In Advances in intelligent systems and computing. IEEE.
Raj, R., Rai, N., & Agarwal, S. (2019). Anticounterfeiting in pharmaceutical supply chain by establishing proof of ownership. In TENCON 2019–2019 IEEE Region 10 Conference(TENCON) (pp. 1572–1577). IEEE.
Jamil, F., Hang, L., Kim, K., & Kim, D. (2019). A novel medical blockchain model for drug supply chain integrity management in a smart hospital. Electronics, 8(5), 505.
Radanović, I., & Likić, R. (2018). Opportunities for use of blockchain technology in medicine. Applied Health Economics and Health Policy, 16, 583–590. https://doi.org/10.1007/s40258-018-0412-8
Roman-Belmonte, J. M., De la Corte-Rodriguez, H., Rodriguez-Merchan, E. C. C., la Corte-Rodriguez, H., & Carlos Rodriguez-Merchan, E. (2018). How Blockchain technology can change medicine. Postgraduate Medicine, 130, 420–427.
Mytis-Gkometh, P., Efraimidis, P. S., Kaldoudi, E., & Drosatos, G. (2017). Notarization of knowledge retrieval from biomedical repositories using Blockchain technology. In IFMBE Proceedings (Vol. 66, pp. 69–73). Springer Nature.
Zhuang, Y., Sheets, L. R., Shae, Z., Chen, Y. W., Tsai, J. J. P., & Shyu, C. R. (2019). Applying Blockchain technology to enhance clinical trial recruitment. AMIA Annual Symposium Proceedings AMIA Symposium., 2019, 1276–1285.
Zhuang, Y., Sheets, L., Gao, X., Shen, Y., Shae, Z. Y., Tsai, J. J. P., & Shyu, C. R. (2021 January 25). Development of A blockchain framework for virtual clinical trials. AMIA Annual Symposium Proceedings, 2020, 1412–1420.
Cha, S.-C., Chen, J.-F., Chunhua, S., & Yeh, K.-H. (2018). A blockchain connected gateway for ble-based devices in the internet of things. IEEE Access, 6, 24639–24649.
Uddin, M. A., Stranieri, A., Gondal, I., & Balasubramanian, V. (2020). Blockchain leveraged decentralized iot ehealth framework. Internet of Things, 9, 100159.
Uddin, M. A., Stranieri, A., Gondal, I., & Balasubramanian, V. (2019). Blockchain leveraged task migration in body area sensor networks. In 25th Asia-Pacific Conference on Communications (APCC) (Vol. 2019, pp. 177–184). IEEE.
Uddin, M. A., Stranieri, A., Gondal, I., & Balasubramanian, V. (2020). Dynamically recommending repositories for health data: A machine learning model. In Proceedings of the Australasian Computer Science Week Multiconference (pp. 1–10). IEEE.
Bharadwaj, H. K., et al. (2021). A review on the role of machine learning in enabling IoT based healthcare applications. IEEE Access, 9, 38859–38890. https://doi.org/10.1109/ACCESS.2021.3059858
Gope, P., Sikdar, B., & Millwood, O. A scalable protocol level approach to prevent machine learning attacks on PUF-based authentication mechanisms for internet-of-medical-things. In IEEE Transactions on Industrial Informatics. IEEE. https://doi.org/10.1109/TII.2021.3096048
I. Ahmed, G. Jeon and F. Piccialli, "A deep-learning-based smart healthcare system for patient’s discomfort detection at the edge of internet of things," in IEEE Internet of Things Journal, vol. 8, 13, pp. 10318–10326, 2021, doi: https://doi.org/10.1109/JIOT.2021.3052067.
Sujata, D., Chinmay, C., Sourav, K. G., Subhendu, K. P., & Jaroslav, F. (2021). BIFM: Big-data driven intelligent forecasting model for COVID-19 (pp. 1–13). IEEE Access. https://doi.org/10.1109/ACCESS.2021.3094658
Almalki, F. A., & Soufiene, B. O. (2021). EPPDA: An efficient and privacy-preserving data aggregation scheme with authentication and authorization for IoT-based healthcare applications. Wireless Communications and Mobile Computing, 2021, 5594159., 18 pages. https://doi.org/10.1155/2021/5594159
Almalki, F. A., Othman, S. B., Almalki, F. A., & Sakli, H. (2021). EERP-DPM: Energy efficient routing protocol using dual prediction model for healthcare using IoT. Journal of Healthcare Engineering, 2021, 9988038., 15 pages. https://doi.org/10.1155/2021/9988038
Soufiene, B. O., Bahattab, A. A., Trad, A., & Youssef, H. (2020). PEERP: An priority-based energy-efficient routing protocol for reliable data transmission in healthcare using the IoT. Procedia Computer Science, 175, 373–378. https://doi.org/10.1016/j.procs.2020.07.053
Wang, T., & Chen, H. (2021). A lightweight SDN fingerprint attack defense mechanism based on probabilistic scrambling and controller dynamic scheduling strategies. Security and Communication Networks, 2021, 6688489., 23 pages. https://doi.org/10.1155/2021/6688489
Ahvar, E., Ahvar, S., Raza, S. M., Manuel Sanchez Vilchez, J., & Lee, G. M. (2021). Next generation of SDN in cloud-fog for 5G and beyond-enabled applications: Opportunities and challenges. Network, 1, 28–49. https://doi.org/10.3390/network1010004
Li, Y., Su, X., Ding, A. Y., Lindgren, A., Liu, X., Prehofer, C., Riekki, J., Rahmani, R., Tarkoma, S., & Hui, P. (2020). Enhancing the internet of things with knowledge-driven software-defined networking technology: Future perspectives. Sensors, 20, 3459. https://doi.org/10.3390/s20123459
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Mhamdi, H., Othman, S.B., Zouinkhi, A., Sakli, H. (2022). Blockchain Technology in Healthcare: Use Cases Study. In: Chakraborty, C., Khosravi, M.R. (eds) Intelligent Healthcare. Springer, Singapore. https://doi.org/10.1007/978-981-16-8150-9_12
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