Blockchain for IoT-enabled Healthcare
DOI:
https://doi.org/10.4108/eetpht.9.3348Keywords:
E-Healthcare, Security Protocol, Internet of Things (IoT), Blockchain, Network Attacks, Passive and Active AttackAbstract
Emerging technologies including such Internet of Things (IoT) and blockchain contribute significantly to the improvement of health services. The purpose of this chapter is to achieve and democratize services through the provision of medical care as a service. The result was the development of medical gadgets integrating healthcare sensors. It links medical equipment like the temperature controller to the cloud environment of medical doctors and staff. This study introduced the combination of IoT and Blockchain as a secure platform to reduce the scarcity of nurses. Blockchain was employed for storing and validating patient information in the proposed operating framework. A significant reduction in nursing gaps for large-scale patients has been shown. All technological specifications have been given to allow the prototyping execution of these suggested medical services simply adaptable. This article deals with Blockchain technology inclusion in Remote Medical Monitoring Devices Internet of Things (IoT) security. The document provides the advantages of Blockchain based safety methods and practical barriers in remote health monitoring via IoT devices. The study also examines several cryptographic methods appropriate for IoT implementation.
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Saha, Arijit & Amin, Ruhul & Kunal, Sourav & Vollala, Satyanarayana & Dwivedi, Sanjeev. (2019). Review on “Blockchain technology based medical healthcare system with privacy issues”. Security and Privacy. 2. 10.1002/spy2.83. DOI: https://doi.org/10.1002/spy2.83
Kamdar, Nirav MD, MPP; Jalilian, Laleh MD Telemedicine: A Digital Interface for Perioperative Anesthetic Care, Anesthesia & Analgesia: February 2020 - Volume 130 - Issue 2 - p 272-275 doi: 10.1213/ANE.0000000000004513.
Wang, R.C., Juang, W.S. and Lei, C.L. (2011) ‘Provably secure and efficient identification and key agreement protocol with user anonymity’, Journal of Computer and System Sciences, Vol. 77, No. 4, pp.790–798. DOI: https://doi.org/10.1016/j.jcss.2010.07.004
Pu, Q., Wang, J. and Zhao, R. (2012) ‘Strong authentication scheme for telecare medicine information systems’, Journal of Medical Systems, Vol. 36, No. 4, pp.2609–2619. DOI: https://doi.org/10.1007/s10916-011-9735-9
Wu, Z.Y., Lee, Y.C., Lai, F., Lee, H.C. and Chung, Y. (2012) ‘A secure authentication scheme for telecare medicine information systems’, Journal of Medical Systems, Vol. 36, No. 3, pp.1529–1535. DOI: https://doi.org/10.1007/s10916-010-9614-9
A. Shastri, R. Biswas “A Framework for Automated Database Tuning Using Dynamic SGA Parameters and Basic Operating System Utilities”, Database Systems Journal vol. III, no. 4/2012.
Gautam Srivastava, Jorge Crichigno, Shalini Dhar. "A Light and Secure Healthcare Blockchain for IoT Medical Devices", 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), 2019. DOI: https://doi.org/10.1109/CCECE.2019.8861593
I Khanchi, E Ahmed “Automated Framework for Real-Time Sentiment Analysis”, International Conference on Next Generation Computing Technologies (NGCT-2019). DOI: https://doi.org/10.2139/ssrn.3702238
Singh, T., Kshitiz, K., Singh, H., Kukreja, P.: Detecting hate speech and insults on social commentary using nlp and machine learning. International Journal of Engineering Technology Science and Research 4(12), 279–285 (2017).
Salman Shamshad, Muhammad Faizan Ayub, Khalid Mahmood, Saru Kumari, Shehzad Ashraf Chaudhry, Chien-Ming Chen. "An enhanced scheme for mutual authentication for healthcare services", Digital Communications and Networks, 2021. DOI: https://doi.org/10.1016/j.dcan.2021.07.002
Ahlawat, P., Biswas, S.S., “Sensors based smart healthcare framework using internet of things (IoT)”, International Journal of Scientific and Technology Research 9(2), pp. 1228-1234 (2020).
Taneja, S., Ahmed, E., “I-Doctor: An IoT Based Self Patient's Health Monitoring System”, 2019 International Conference on Innovative Sustainable Computational Technologies, CISCT 2019 (2019). Ahmed H., K. Manender. K. Abdul“IoT based smart healthcare for future sustainability”, 2019 International Conference on Current and Future trends of IoT, (2019).
Sharma, H.K., Khanchi, I., Agarwal, N., Seth, P., Ahlawat, P. , “Real time activity logger: A user activity detection system”, International Journal of Engineering and Advanced Technology 9(1), pp. 1991-1994 (2019). DOI: https://doi.org/10.35940/ijeat.A9529.109119
Bhushan, A., Rastogi, P., Ahmed, M.E., “I/O and memory management: Two keys for tuning RDBMS”, Proceedings on 2016 2nd International Conference on Next Generation Computing Technologies, NGCT 2016 7877416, pp. 208-214 (2017). DOI: https://doi.org/10.1109/NGCT.2016.7877416
Partha Pratim Ray, Dinesh Dash, Khaled Salah, Neeraj Kumar. "Blockchain for IoT-Based Healthcare: Background, Consensus, Platforms, and Use Cases", IEEE Systems Journal, 2020.
Nirav Kamdar, Laleh Jalilian. "Telemedicine", Anesthesia & Analgesia, 2020. DOI: https://doi.org/10.1213/ANE.0000000000004513
Singh, Balpreet, Krishna Pal Sharma, and Nonita Sharma. "Blockchain applications, opportunities, challenges and risks: a survey." In Proceedings of the International Conference on Innovative Computing & Communications (ICICC). 2020. DOI: https://doi.org/10.2139/ssrn.3565930
Yadav, Sourabh, Monika Mangla, Nonita Sharma, and Asmita Mahajan. "Blockchain framework for smart contract and distributive ledger for entity marketplace." International Journal of Blockchains and Cryptocurrencies 3, no. 2 (2022): 95-111. DOI: https://doi.org/10.1504/IJBC.2022.124004
Sharma, Nonita, Monika Mangla, and Sachi Nandan Mohanty. "A Markov decision process-based secure consensus framework for leveraging blockchain technology in IoT applications." International Journal of Electronic Business 17, no. 3 (2022): 270-282. DOI: https://doi.org/10.1504/IJEB.2022.124329
Singh, R., & Agarwal, B. B. “Abnormality detection and classification from brain MRI using machine learning”. International Journal of Health Sciences, (2022): 6(S3), 9170–9180. DOI: https://doi.org/10.53730/ijhs.v6nS3.8242
Singh, Ravendra, and Bharat Bhushan Agarwal. "An automated brain tumor classification in MR images using an enhanced convolutional neural network." International Journal of Information Technology (2022): 1-10.
Yadav, Sourabh, Nonita Sharma, Monika Mangla, and Asmita Mahajan. "Blockchain and IPFS Based Framework for Secure Student Document Record Keeping." Journal of Educational Multimedia and Hypermedia 30, no. 2 (2021): 165-181.
Georgios Tsaramirsis, Seyed M Buhari, Mohammed Basheri, Milos Stojmenovic."Navigating Virtual Environments Using Leg Poses and Smartphone Sensors".Multidisciplinary Digital Publishing Institute, Sensors.(2019): 299. DOI: https://doi.org/10.3390/s19020299
Singh, Ravendra, and Bharat Bhushan Agarwal. "A Hybrid Approach for Detection of Brain Tumor with Levy Flight Cuckoo Search." Webology 19, no. 1 (2022). DOI: https://doi.org/10.14704/WEB/V19I1/WEB19361
Georgios Tsaramirsis, Seyed M Buhari, Khalid Obaid Al-Shammari, Saud Ghazi, Mohd Saleem Nazmudeen, Kostandinos Tsaramirsis."Towards simulation of the classroom learning experience: Virtual reality approach”. 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).(2016), 1343-1346.
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Copyright (c) 2023 Ravendra Singh, Hitesh Kumar Sharma, Tanupriya Choudhury, Anurag Mor, Shlok Mohanty, Sachi Nandan Mohanty
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