Blockchain Technology to Improve Security in Healthcare Data Breaches
Keywords:
modernization, implementing, environment, ownership, proceduresAbstract
The modernization of healthcare is now a top issue in the quickly changing technological world. Healthcare data systems now have vulnerabilities due to their centralised design, making them more prone to single points of failure, especially in the event of natural catastrophes. Blockchain technology has emerged as a highly respected answer among the wide range of technological developments that show promise in resolving data management issues in the healthcare industry. Blockchain technology is gaining popularity as a way to guarantee the confidentiality and dependability of healthcare data. The promise of blockchain technology to address a number of issues is being acknowledged, despite the fact that its use in healthcare big data management is still relatively limitedBeyond dealing with patient consents, data ownership, management of information, data inspection, security, confidentiality, tracking, indestructibility, flexible access, and resolving conflicting changes from numerous sources, blockchain technology offers a variety of advantages. Healthcare organisations can improve data management procedures and create a more stable and secure healthcare environment by implementing blockchain technology.
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Chalaemwongwan, N., & Kurutach, W. (2018). State of the art and challenges facing consensus protocols on blockchain. International Conference on Information Networking (ICOIN), 957-962. 10.1109/ICOIN.2018.8343266
Dinh, T. T. A., Liu, R., Zhang, M., Chen, G., Ooi, B. C., & Wang, J. (2018). Untangling Blockchain: AData Processing View of Blockchain Systems. IEEE Transactions on Knowledge and Data Engineering,30(7), 1366–1385. doi:10.1109/TKDE.2017.2781227
Ishan, P. B., & Rai, G. (2018). Analysis of Cryptographic Hash in Blockchain for Bitcoin Mining Process. International Conference on Advances in Computing and Communication Engineering (ICACCE),105-110. 10.1109/ICACCE.2018.8441688
Kaushik, A., Choudhary, A., Ektare, C., Thomas, D., & Akram, S. (2017). Blockchain — Literature survey. 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2145-2148. 84
A Brief Analysis of Blockchain Algorithms and Its Challenges Mingxiao, D., Xiaofeng, M., Zhe, Z., Xiangwei, W., & Qijun, C. (2017). A review on consensus algorithm of blockchain. IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2567-2572. 10.1109/SMC.2017.8123011
Ogiela, M. R., & Majcher, M. (2018). Security of Distributed Ledger Solutions Based on Blockchain Technologies. IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), 1089-1095. 10.1109/AINA.2018.00156
Salman, T., Zolanvari, M., Erbad, A., Jain, R., & Samaka, M. (2016). Security Services Using Blockchains: A State-of-the-Art Survey. IEEE Communications Surveys and Tutorials.
Sankar, L. S., Sindhu, M., & Sethumadhavan, M. (2017). Survey of consensus protocols on blockchain applications. 4th International Conference on Advanced Computing and Communication Systems (ICACCS), 1-5. 10.1109/ICACCS.2017.8014672
Salman Al-Nuaimi, M. A. ., & Abdu Ibrahim, A. . (2023). Analyzing and Detecting the De-Authentication Attack by Creating an Automated Scanner using Scapy. International Journal on Recent and Innovation Trends in Computing and Communication, 11(2), 131–137. https://doi.org/10.17762/ijritcc.v11i2.6137
Singh, S., & Singh, N. (2016). Blockchain: Future of financial and cyber security. 2nd International Conference on Contemporary Computing and Informatics (IC3I), 463-467. 10.1109/IC3I.2016.7918009
Tasatanattakool, P., & Techapanupreeda, C. (2018). Blockchain: Challenges and applications. International Conference on Information Networking (ICOIN), 473-475.
Tosh, D. K., Shetty, S., Liang, X., Kamhoua, C., & Njilla, L. (2017). Consensus protocols for blockchain-based data provenance: Challenges and opportunities. IEEE 8th Annual Ubiquitous Computing,Electronics and Mobile Communication Conference (UEMCON), 469-474.
Wang, Y., Cai, S., Lin, C., Chen, Z., Wang, T., Gao, Z., & Zhou, C. (2019). Study of Blockchains’s Consensus Mechanism Based on Credit. IEEE Access: Practical Innovations, Open Solutions, 7, 10224–10231. doi:10.1109/ACCESS.2019.2891065
Yuan, Y., & Wang, F. (2018). Blockchain and Cryptocurrencies: Model, Techniques, and Applications. IEEE Transactions on Systems, Man, and Cybernetics. Systems, 48(9), 1421–1428. doi:10.1109/TSMC.2018.2854904
Singh, M. ., Angurala, D. M. ., & Bala, D. M. . (2020). Bone Tumour detection Using Feature Extraction with Classification by Deep Learning Techniques. Research Journal of Computer Systems and Engineering, 1(1), 23–27. Retrieved from https://technicaljournals.org/RJCSE/index.php/journal/article/view/21
Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017). An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends. IEEE International Congress on Big Data (BigData Congress), 557-564.
Yu, G., Zha, X., Wang, X., Ni, W., Yu, K., Yu, P., ... & Guo, Y. J.(2020). Enabling attribute revocation for fine-grained access control in blockchain-IoT systems. IEEE Transactions on Engineering Management, 67(4), 1213-1230.
Tao, H., Bhuiyan, M. Z. A., Abdalla, A. N., Hassan, M. M., Zain, J.M., & Hayajneh, T. (2018). Secured data collection with hardwarebased ciphers for IoT-based healthcare. IEEE Internet of Things Journal, 6(1), 410-420.
Ali, F., El-Sappagh, S., Islam, S. R., Kwak, D., Ali, A., Imran, M., & Kwak, K. S. (2020). A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion.Information Fusion, 63, 208-222.
Sengupta, J., Ruj, S., & Bit, S. D. (2020). A comprehensive survey on attacks, security issues and blockchain solutions for IoT and IIoT. Journal of Network and Computer Applications, 149, 102481.
Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2016). Healthcare data gateways: found healthcare intelligence on blockchain with novel privacy risk control. Journal of medical systems, 40(10), 1-8.
Chen, L., Lee, W. K., Chang, C. C., Choo, K. K. R., & Zhang, N. (2019). Blockchain based searchable encryption for electronic health record sharing. Future Generation Computer Systems, 95, 420-429.
McGhin, T., Choo, K. K. R., Liu, C. Z., & He, D. (2019). Blockchain in healthcare applications: Research challenges and opportunities. Journal of Network and Computer Applications, 135, 62-75.
Farouk, A., Alahmadi, A., Ghose, S., & Mashatan, A. (2020). Blockchain platform for industrial healthcare: Vision and futureopportunities. Computer Communications, 154, 223-235. .2021.9515747
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