Skip to main content
SpringerLink
Log in

A Secured Smart Healthcare Monitoring Systems Using Blockchain Technology

  • Chapter
  • First Online:
Intelligent Internet of Things for Healthcare and Industry

Part of the book series: Internet of Things ((ITTCC))

Abstract

The healthcare system that depends on the Internet of Things (IoT) assists individuals and aids their vital everyday life activities. The affordability and user-friendliness of the usage of IoT start revolutionizing healthcare services. The IoT and its related technologies have emerged as the most preferred use cases in the healthcare system. Hence, the security and privacy issues associated with smart healthcare systems and their participated entities make its general acceptance still a dream. Also, as a remote patient monitoring system using IoT-based devices are the increase in privacy, popularity, accessibility, security concerns of logging and the transfer of medical data continue arising. Therefore, this chapter proposes IoT-based blockchain-protected medical data utilizing a smart contract for secure analysis and management of wearable sensors based on the Ethereum protocol. The integration of blockchain will counter the security and privacy issues that may arise using IoT-based wearable devices in the healthcare monitoring system, thus facilitating safe and secure storage of patients’ information in the utilization of IoT devices in the healthcare system. IoT-based healthcare can be employed to enhance the well-being of patients, make the healthcare system more effective, and help respond quickly to emergencies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. S.B. Baker, W. Xiang, I. Atkinson, Internet of things for smart healthcare: Technologies, challenges, and opportunities. IEEE Access 5, 26521–26544 (2017)

    Article  Google Scholar 

  2. F. Fernandez, G.C. Pallis. Opportunities and challenges of the Internet of Things for healthcare: Systems engineering perspective, in 2014 4th international conference on wireless Mobile communication and healthcare-transforming healthcare through innovations in Mobile and wireless technologies (MOBIHEALTH), pp. 263–266. IEEE 2014, November

    Google Scholar 

  3. J.S. Guy, Digital technology, digital culture, and the metric/nonmetric distinction. Technol. Forecast. Soc. Chang. 145, 55–61 (2019)

    Article  Google Scholar 

  4. G. Tripathi, M.A. Ahad, S. Paiva, S2HS-A blockchain-based approach for the smart healthcare system, in Healthcare vol. 8, no. 1 (Elsevier, 2020, March), p. 100391

    Google Scholar 

  5. J.B. Awotunde, R.O. Ogundokun, S. Misra, Cloud and IoMT-based big data analytics system during COVID-19 pandemic. Internet of Things, 181–201 (2021)

    Google Scholar 

  6. C.M. Medaglia, A. Serbanati, An Overview of Privacy and Security Issues on the Internet of Things, The Internet of Things (Springer, New York, 2010), pp. 389–395

    Google Scholar 

  7. P. Yang, W. Wu, M. Moniri, C.C. Chibelushi, Efficient object localization using sparsely distributed passive RFID tags. IEEE Trans. Ind. Electron. 60(12), 5914–5924 (2012)

    Article  Google Scholar 

  8. AL-Mawee, W. (2012). Privacy and Security Issues in IoT Healthcare Applications for Disabled Users a Survey

    Google Scholar 

  9. J.B. Awotunde, C. Chakraborty, A.E. Adeniyi, Intrusion detection in industrial internet of things network-based on deep learning model with rule-based feature selection. Wirel. Commun. Mob. Comput., 7154587 (2021)

    Google Scholar 

  10. J. Shen, Z. Gui, S. Ji, J. Shen, H. Tan, Y. Tang, Cloud-aided lightweight certificates authentication protocol with anonymity for wireless body area networks. J. Netw. Comput. Appl. 106, 117–123 (2018)

    Article  Google Scholar 

  11. S. Roy, S. Chatterjee, A.K. Das, S. Chattopadhyay, S. Kumari, M. Jo, Chaotic map-based anonymous user authentication scheme with user biometrics and fuzzy extractor for crowdsourcing Internet of Things. IEEE Internet Things J. 5(4), 2884–2895 (2017)

    Article  Google Scholar 

  12. A.D. DeVore, J. Wosik, A.F. Hernandez, The future of wearables in heart failure patients. JACC Heart Fail. 7(11), 922–932 (2019)

    Article  Google Scholar 

  13. Mack, H. (2017). The Remote Patient Monitoring Market Grew by 44 Percent in 2016, the Report Says

    Google Scholar 

  14. E.A. Adeniyi, R.O. Ogundokun, J.B. Awotunde, IoMT-based wearable body sensors network healthcare monitoring system, in IoT in Healthcare and Ambient Assisted Living, (Springer, Singapore, 2021), pp. 103–121

    Chapter  Google Scholar 

  15. H. Tao, M.Z.A. Bhuiyan, A.N. Abdalla, M.M. Hassan, J.M. Zain, T. Hayajneh, Secured data collection with hardware-based ciphers for IoT-based healthcare. IEEE Internet Things J. 6(1), 410–420 (2018)

    Article  Google Scholar 

  16. S.P. Amaraweera, M.N. Halgamuge, Internet of Things in the Healthcare Sector: Overview of Security and Privacy Issues, in Security, Privacy, and Trust in the IoT Environment, (Springer, Cham, 2019), pp. 153–179

    Chapter  Google Scholar 

  17. M.A. Uddin, A. Stranieri, I. Gondal, V. Balasubramanian, Continuous patient monitoring with a patient-centric agent: A block architecture. IEEE Access 6, 32700–32726 (2018)

    Article  Google Scholar 

  18. O. Vermesan, P. Friess (eds.), Internet of Things-from Research and Innovation to Market Deployment, vol 29 (River Publishers, Aalborg, 2014)

    Google Scholar 

  19. J.B. Awotunde, R.G. Jimoh, S.O. Folorunso, E.A. Adeniyi, K.M. Abiodun, O.O. Banjo, Privacy and security concerns in IoT-based healthcare systems. Internet of Things, 105–134 (2021)

    Google Scholar 

  20. F. Alsubaei, A. Abuhussein, & S. Shiva, Security and privacy on the internet of medical things: Taxonomy and risk assessment, in 2017 IEEE 42nd conference on local computer networks workshops (LCN workshops), pp. 112–120. IEEE, 2017, October

    Google Scholar 

  21. A.A. Mutlag, M.K.A. Ghani, N.A. Arunkumar, M.A. Mohammed, O. Mohd, Enabling technologies for fog computing in healthcare IoT systems. Futur. Gener. Comput. Syst. 90, 62–78 (2019)

    Article  Google Scholar 

  22. W. Sun, Z. Cai, Y. Li, F. Liu, S. Fang, G. Wang, Security and privacy in the medical internet of things: A review. Security Commun. Netw. (2018)

    Google Scholar 

  23. J. Tang, A. Liu, M. Zhao, T. Wang, An aggregate signature-based trust routing for data gathering in sensor networks. Security Commun. Netw. (2018)

    Google Scholar 

  24. W. Sun, Z. Cai, F. Liu, S. Fang, G. Wang, A survey of data mining technology on electronic medical records, in 2017 IEEE 19th international conference on e-health networking, applications and services (Healthcom), pp. 1–6. IEEE, 2017, October

    Google Scholar 

  25. O.C. Abikoye, U.A. Ojo, J.B. Awotunde, R.O. Ogundokun, A safe and secured iris template using steganography and cryptography. Multimedia Tools Appl. 79(31–32), 23483–23506 (2020)

    Article  Google Scholar 

  26. F.E. Ayo, S.O. Folorunso, A.A. Abayomi-Alli, A.O. Adekunle, J.B. Awotunde, Network intrusion detection based on deep learning model optimized with rule-based hybrid feature selection. Information Security J. 29(6), 267–283 (2020)

    Google Scholar 

  27. C. Chakraborty, B. Gupta, & S.K. Ghosh, Mobile telemedicine systems for remote patient’s chronic wound monitoring, in Virtual and Mobile Healthcare: Breakthroughs in Research and Practice. (IGI Global, 2020), pp. 977–1003

    Google Scholar 

  28. A. Banerjee, C. Chakraborty, A. Kumar, D. Biswas, Emerging trends in IoT and big data analytics for biomedical and health care technologies, in Handbook of Data Science Approaches for Biomedical Engineering, (Academic Press, 2020), pp. 121–152

    Chapter  Google Scholar 

  29. C. Chakraborty, J.J. Rodrigues, A comprehensive review on device-to-device communication paradigm: Trends, challenges, and applications. Wirel. Pers. Commun. 114(1), 185–207 (2020)

    Article  Google Scholar 

  30. Z. Alhadhrami, S. Alghfeli, M. Alghfeli, J.A. Abedlla, K. Shuaib, Introducing blockchains for healthcare, in 2017 international conference on electrical and computing technologies and applications (ICECTA), pp. 1–4. IEEE, 2017, November

    Google Scholar 

  31. J.B. Awotunde, R.O. Ogundokun, S. Misra, E.A. Adeniyi, M.M. Sharma, Blockchain-based framework for secure transaction in mobile banking platform. Advances in Intelligent Systems and Computing, 525–534 (2021., 1375 AIST)

    Google Scholar 

  32. M. Mettler, Blockchain technology in healthcare: The revolution starts here, in 2016 IEEE 18th international conference on e-health networking, applications, and services (Healthcom), pp. 1–3. IEEE, 2016, September

    Google Scholar 

  33. C.B. Krubiner, D.A. Schwartz, Viral hemorrhagic fevers in pregnant women and the vaccine landscape: Comparisons between yellow fever, Ebola, and Lassa fever. Curr. Tropical Med. Rep. 6(4), 186–196 (2019)

    Article  Google Scholar 

  34. T. McConaghy, R. Marques, A. Müller, D. De Jonghe, T. McConaghy, G. McMullen, ..., A. Granzotto, BigchainDB: a scalable blockchain database. White chapter, BigChainDB, 2016

    Google Scholar 

  35. L.A. Linn, M.B. Koo, ONC/NIST Use of Blockchain for Healthcare and Research Workshop (HealthIT. gov, Gaithersburg, 2016)

    Google Scholar 

  36. A. Ekblaw, A. Azaria, J.D. Halamka, A. Lippman, ONC/NIST Use of Blockchain for Healthcare and Research Workshop (Gaithersburg, 2016)

    Google Scholar 

  37. S.A. Abeyratne, R.P. Monfared, Blockchain-ready manufacturing supply chain using a distributed ledger. Int. J. Res. Eng. Technol. 5(9), 1–10 (2016)

    Article  Google Scholar 

  38. N. Kshetri, 1 Blockchain’s roles in meeting key supply chain management objectives. Int. J. Inf. Manag. 39, 80–89 (2018)

    Article  Google Scholar 

  39. A. Reyna, C. Martín, J. Chen, E. Soler, M. Díaz, On Blockchain and its integration with IoT. Challenges and opportunities. Future Generation Comput.Syst. 88, 173–190 (2018)

    Article  Google Scholar 

  40. W. Mougayar, The Business Blockchain: Promise, Practice, and Application of the Next Internet Technology (Wiley, 2016)

    Google Scholar 

  41. D.J. Bernstein, N. Heninger, P. Lou, L. Valenta, Post-quantum RSA, in International Workshop on Post-Quantum Cryptography, (Springer, Cham, 2017, June), pp. 311–329

    Chapter  Google Scholar 

  42. G. Greenspan, Multichain private Blockchain-white chapter. http://www.multichain.com/download/MultiChain-White-Chapter.pdf, 2015

  43. P. De Filippi, The interplay between decentralization and privacy: The case of blockchain technologies. J. Peer Prod. 7 (2016)

    Google Scholar 

  44. M. Moser, The Anonymity of Bitcoin Transactions, 2013

    Google Scholar 

  45. T.T. Kuo, H.E. Kim, L. Ohno-Machado, Blockchain distributed ledger technologies for biomedical and health care applications. J. Am. Med. Inform. Assoc. 24(6), 1211–1220 (2017)

    Article  Google Scholar 

  46. M. Abdulraheem, J.B. Awotunde, R.G. Jimoh, I.D. Oladipo, An efficient lightweight cryptographic algorithm for IoT security. Commun. Comput. Information Sci. 2021(1350), 444–456 (2021)

    Article  Google Scholar 

  47. A. Craven, M.M. Eloff, Biometrics as an Agent to Reduce Fraud in the Micro Lending Industry in South Africa, in ISSA, 2010

    Google Scholar 

  48. TRUSTe, TRUSTe Internet of Things privacy index—US edition, 2014

    Google Scholar 

  49. D. Kotz, K. Fu, C. Gunter, A. Rubin, Security for mobile and cloud frontiers in healthcare. Commun. ACM 58(8), 21–23 (2015)

    Article  Google Scholar 

  50. M. Huang, A. Liu, T. Wang, C. Huang, Green data gathering under delay differentiated services constraint for the internet of things. Wirel. Commun. Mobile Comput. 2018(3), 1–23 (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Ilorin, Ilorin, Nigeria

    Joseph Bamidele Awotunde

  2. Department of Electronics and Communication Engineering, Birla Institute of Technology, Jharkhand, India

    Chinmay Chakraborty

  3. Department of Mathematical Sciences, Olabisi Onabanjo University, Ago-Iwoye, Nigeria

    Sakinat Oluwabukonla Folorunso

Authors
  1. Joseph Bamidele Awotunde
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chinmay Chakraborty
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sakinat Oluwabukonla Folorunso
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Joseph Bamidele Awotunde .

Editor information

Editors and Affiliations

  1. Vanderbilt University, Nashville, TN, USA

    Uttam Ghosh

  2. Electronics & Communication Engineering, Birla Institute of Technology, Jharkhand, India

    Chinmay Chakraborty

  3. Information and Communication Technology, University of Malta, Msida, Malta

    Lalit Garg

  4. Mathematics and Computer Science, Brandon University, Brandon, MB, Canada

    Gautam Srivastava

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Awotunde, J.B., Chakraborty, C., Folorunso, S.O. (2022). A Secured Smart Healthcare Monitoring Systems Using Blockchain Technology. In: Ghosh, U., Chakraborty, C., Garg, L., Srivastava, G. (eds) Intelligent Internet of Things for Healthcare and Industry. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-81473-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-81473-1_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-81472-4

  • Online ISBN: 978-3-030-81473-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation