Abstract
The medical care industry is especially at risk and focused on cyberattacks on the grounds that they have a huge amount of data of high financial and knowledge worth to hackers. Thus, there is an urgent need for the implementation of countermeasures to the consequences of such crimes in priority areas like law, technology, and education. This article discusses the recent cyber threats and the utilization of blockchain to secure electronic healthcare technologies. Further, this article talks about various blockchain-empowered digital secure answers for medical care zeroing in on added regard, including immutability, auditability, and accountability in processes, for example, user-device binding, registration, maintenance, and alerting. We have likewise proposed a blockchain design that executes a smart contract (SC) to convey safer administrations in the medical service industry.
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References
WHO EMRO | eHealth | Health topics. www.emro.who.int. http://www.emro.who.int/health-topics/ehealth/. Accessed 12 Mar 2022
Global strategy on digital health 2020–2025. Geneva: World Health Organization; 2021. License: CC BY-NC-SA 3.0 IGO
Seventy-first World Health Assembly update, 25 May. www.who.int. https://www.who.int/news/item/25-05-2018-seventy-first-world-health-assembly-update-25-may. Accessed 15 Mar 2022
World Health Organization. Classification of digital health interventions v1. 0: a shared language to describe the uses of digital technology for health. No. WHO/RHR/18.06. World Health Organization (2018)
Rachh, A.: A study of future opportunities and challenges in digital healthcare sector: cyber security vs. crimes in digital healthcare sector. Asia Pac. J. Health Manage. 16(3), 7–15 (2021)
Seh, A.H. et al.: Healthcare data breaches: insights and implications. Healthcare. vol. 8. no. 2. Multidisciplinary Digital Publishing Institute (2020)
Zarour, M., et al.: Ensuring data integrity of healthcare information in the era of digital health. Healthcare Technol. Lett. 8(3), 66 (2021)
Walden, A., Cortelyou-Ward, K., Gabriel, M.H., Noblin, A.: To report or not to report health care data breaches. Am. J. Manage Care 26(12), e395–e402 (2020)
Nwosu, A.U., Goyal, S.B., Bedi, P.: Blockchain transforming cyber-attacks: healthcare industry. In: Abraham, A., Sasaki, H., Rios, R., Gandhi, N., Singh, U., Ma, K. (eds.) IBICA 2020. AISC, vol. 1372, pp. 258–266. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-73603-3_24
Maryland Department of Health Network Security Incident. health.maryland.gov. https://health.maryland.gov/incidentupdate/Pages/default.aspx. Accessed 28 Mar 2022
McKeon, J.: East Tennessee Children’s Hospital Experiencing Security Issue” healthitsecurity.com. Xtelligent Healthcare Media, 17 Apr 2022. Accessed 28 Mar 2022
McKeon, J.: Adaptive Health Integrations Data Breach Impacts 510K” healthitsecurity.com. Xtelligent Healthcare Media, 17 Apr 2022. Accessed 28 Mar 2022
Kadam, S., Motwani, D.: Protected admittance E-health record system using blockchain technology. In: Smys, S., Bestak, R., Palanisamy, R., Kotuliak, I. (eds.) Computer Networks and Inventive Communication Technologies. LNDECT, vol. 75, pp. 723–739. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-3728-5_54
“USA: Charleston Area Medical Center notifies OCR of data security incident.” www.dataguidance.com. https://www.dataguidance.com/news/usa-charleston-area-medical-center-notifies-ocr-data (Last accessed April 28, 2022)
Ichikawa, D., Kashiyama, M., Ueno, T.: Tamper-resistant mobile health using blockchain technology. JMIR mHealth uHealth 5(7), e111 (2017)
Yi, H.: Securing instant messaging based on blockchain with machine learning. Saf. Sci. 120, 6–13 (2019)
Dwivedi, A.D., Srivastava, G., Dhar, S., Singh, R.: A decentralized privacy-preserving healthcare blockchain for IoT. Sensors 19(2), 326 (2019). https://doi.org/10.3390/s19020326
Abou-Nassar, E.M., et al.: DITrust chain: towards blockchain-based trust models for sustainable healthcare IoT systems. IEEE Access 8, 111223–111238 (2020)
Omar, I.A., Jayaraman, R., Salah, K., Simsekler, M.C.E., Yaqoob, I., Ellahham, S.: Ensuring protocol compliance and data transparency in clinical trials using blockchain smart contracts. BMC Med. Res. Methodol. 20(1), 1–17 (2020)
Jamil, F., Hang, L., Kim, K.H., Kim, D.H.: A novel medical blockchain model for drug supply chain integrity management in a smart hospital. Electronics 8(5), 505 (2019)
Alam, T.: mHealth communication framework using blockchain and IoT technologies. Int. J. Sci. Technol. Res. 9(6) (2020)
Taralunga, D.D., Florea, B.C.: A blockchain-enabled framework for mhealth systems. Sensors 21, 2828 (2021). https://doi.org/10.3390/s21082828
Sengupta, A., Subramanian, H.: User control of personal mHealth data using a mobile blockchain app: design science perspective. JMIR mHealth and uHealth 10(1), e32104 (2022)
Clim, A., Zota, R.D., Constantinescu, R.: Data exchanges based on blockchain in m-Health applications. Procedia Comput. Sci. 160, 281–288 (2019)
Peña, C.A.N., Díaz, A.E.G., Aguirre, J.A.A., Molina, J.M.M.: Security model to protect patient data in mHealth systems through a blockchain network. In: Proceedings of the LACCEI international Multiconference for Engineering, Education and Technology (2019)
Zhang, G., Yang, Z., Liu, W.: Blockchain-based privacy preserving e-health system for healthcare data in cloud. Comput. Netw. 203, 108586 (2022)
Liu, Y., Shan, G., Liu, Y., Alghamdi, A., Alam, I., Biswas, S.: Blockchain bridges critical national infrastructures: E-healthcare data migration perspective. IEEE Access 10, 28509–28519 (2022)
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Jat, A.S., Grønli, TM. (2022). Blockchain for Cybersecure Healthcare. In: Awan, I., Younas, M., Poniszewska-Marańda, A. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2022. Lecture Notes in Computer Science, vol 13475. Springer, Cham. https://doi.org/10.1007/978-3-031-14391-5_8
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