Skip to main content

A Secure Framework for Internet of Medical Things Security Based System Using Lightweight Cryptography Enabled Blockchain

  • Conference paper
  • First Online:
Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications (FDSE 2022)

Abstract

The Internet of Medical Things (IoMT) is a growing paradigm that offers several efficient and productive solutions for the treatment of various ailments for both patients and medical professionals. The IoMT has many advantages, but security remains a problem that must be overcome. The inexperienced IoMT users’ lack of security and privacy consciousness and the possibility of multiple middleman attacks for getting the healthcare information, seriously puts the use of IoMT in jeopardy. Therefore, this paper proposes a lightweight cryptography enabled with blockchain for enhancing IoMT-based security and privacy. The study utilizes lightweight cryptography to securely uploading the data to the cloud database for privacy preservation, and the Blockchain technology is use to securely store the data in the cloud server. The experimental results of the proposed model revealed a better result with compare with prevailing methods. The proposed system achieves an accuracy of 98% of security level.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Similar content being viewed by others

References

  1. Tahir, M., Sardaraz, M., Muhammad, S., Saud Khan, M.: A lightweight authentication and authorization framework for blockchain-enabled IoT network in health-informatics. Sustainability 12(17), 6960 (2020)

    Article  Google Scholar 

  2. Ali, A., et al.: An Industrial IoT-Based Blockchain-enabled secure searchable encryption approach for healthcare systems using neural network. Sensors 22(2), 572 (2022)

    Article  Google Scholar 

  3. Awotunde, J.B., Misra, S., Ayoade, O.B., Ogundokun, R.O., Abiodun, M.K.: Blockchain-based framework for secure medical information in internet of things system. In: Misra, S., Tyagi, A.K. (eds.) Blockchain Applications in the Smart Era, pp. 147–169. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-030-89546-4_8

    Chapter  Google Scholar 

  4. Nguyen, D.C., Pathirana, P.N., Ding, M., Seneviratne, A.: Blockchain for secure EHRs sharing of mobile cloud based e-health systems. IEEE Access 7, 66792–66806 (2019)

    Article  Google Scholar 

  5. Vaiyapuri, T., Binbusayyis, A., Varadarajan, V.: Security, privacy and trust in IoMT enabled smart healthcare system: a systematic review of current and future trends. Int. J. Adv. Comput. Sci. Appl. 12(2), 731–737 (2021)

    Google Scholar 

  6. Egala, B.S., Pradhan, A.K., Badarla, V., Mohanty, S.P.: Fortified-chain: a blockchain-based framework for security and privacy-assured internet of medical things with effective access control. IEEE Internet Things J. 8(14), 11717–11731 (2021)

    Article  Google Scholar 

  7. Kim, S.K., Huh, J.H.: Artificial neural network blockchain techniques for healthcare system: focusing on the personal health records. Electronics 9(5), 763 (2020)

    Article  Google Scholar 

  8. Ogundokun, R.O., Arowolo, M.O., Misra, S., Awotunde, J.B.: Machine learning, IoT, and Blockchain integration for improving process management application security. In: Misra, S., Tyagi, A.K. (eds.) Blockchain Applications in the Smart Era, pp. 237–252. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-030-89546-4_12

    Chapter  Google Scholar 

  9. Awotunde, J.B., Chakraborty, C., Folorunso, S.O.: 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, pp. 127–143. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-030-81473-1_6

    Chapter  Google Scholar 

  10. Katagi, M., Moriai, S.: Lightweight Cryptography for the Internet of Things, vol. 2008, pp. 7–10. Sony Corporation (2008)

    Google Scholar 

  11. Hassan, A.: Lightweight cryptography for the Internet of Things. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) Proceedings of the Future Technologies Conference (FTC) 2020, Volume 3, pp. 780–795. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-63092-8_52

    Chapter  Google Scholar 

  12. AbdulRaheem, M., et al.: An enhanced lightweight speck system for cloud-based smart healthcare. In: Florez, H., Pollo-Cattaneo, M.F. (eds.) Applied Informatics: Fourth International Conference, ICAI 2021, Buenos Aires, Argentina, October 28–30, 2021, Proceedings, pp. 363–376. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-89654-6_26

    Chapter  Google Scholar 

  13. Ning, L., Ali, Y., Ke, H., Nazir, S., Huanli, Z.: A hybrid MCDM approach of selecting lightweight cryptographic cipher based on ISO and NIST lightweight cryptography security requirements for internet of health things. IEEE Access 8, 220165–220187 (2020)

    Article  Google Scholar 

  14. Ogundokun, R.O., Awotunde, J.B., Adeniyi, E.A., Ayo, F.E.: Crypto-Stegno based model for securing medical information on IOMT platform. Multimedia Tools Appl. 80(21–23), 31705–31727 (2021). https://doi.org/10.1007/s11042-021-11125-2

    Article  Google Scholar 

  15. Jan, M.A., et al.: Security and blockchain convergence with Internet of Multimedia Things: current trends, research challenges and future directions. J. Netw. Comput. Appl. 175, 102918 (2021)

    Article  Google Scholar 

  16. Rahmani, M.K.I., et al.: Blockchain-based trust management framework for cloud computing-based internet of medical things (IoMT): a systematic review. Comput. Intell. Neurosci. 2022, 1–14 (2022). https://doi.org/10.1155/2022/9766844

    Article  Google Scholar 

  17. Adeniyi, E.A., Ogundokun, R.O., Misra, S., Awotunde, J.B., Abiodun, K.M.: Enhanced security and privacy issue in multi-tenant environment of green computing using Blockchain technology. In: Misra, S., Tyagi, A.K. (eds.) Blockchain Applications in the Smart Era, pp. 65–83. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-030-89546-4_4

    Chapter  Google Scholar 

  18. Abdulraheem, M., Awotunde, J.B., Jimoh, R.G., Oladipo, I.D.: An efficient lightweight cryptographic algorithm for IoT security. Commun. Comput. Inform. Sci. 1350, 444–456 (2020)

    Article  Google Scholar 

  19. Mukherjee, A., Ghosh, S., Behere, A., Ghosh, S.K., Buyya, R.: Internet of Health Things (IoHT) for personalized health care using integrated edge-fog-cloud network. J. Ambient. Intell. Humaniz. Comput. 12(1), 943–959 (2020). https://doi.org/10.1007/s12652-020-02113-9

    Article  Google Scholar 

  20. Ferrag, M.A., Maglaras, L., Derhab, A.: Authentication and authorization for mobile IoT devices using biofeatures: recent advances and future trends. Secur. Commun. Netw. 2019, 1–20 (2019)

    Article  Google Scholar 

  21. Awotunde, J.B., Ayoade, O.B., Ajamu, G.J., AbdulRaheem, M., Oladipo, I.D.: Internet of things and cloud activity monitoring systems for elderly healthcare. In: Scataglini, S., Imbesi, S., Marques, G. (eds.) Internet of Things for Human-Centered Design: Application to Elderly Healthcare, pp. 181–207. Springer Nature Singapore, Singapore (2022). https://doi.org/10.1007/978-981-16-8488-3_9

    Chapter  Google Scholar 

  22. Li, S., Xu, L.D., Zhao, S.: The internet of things: a survey. Inf. Syst. Front. 17(2), 243–259 (2014). https://doi.org/10.1007/s10796-014-9492-7

    Article  Google Scholar 

  23. Granjal, J., Monteiro, E., Silva, J.S.: Security for the internet of things: a survey of existing protocols and open research issues. IEEE Commun. Surv. Tutorials 17(3), 1294–1312 (2015)

    Article  Google Scholar 

  24. Gou, Q., Yan, L., Liu, Y., Li, Y.: Construction and strategies in IoT security system. In: 2013 IEEE international conference on green computing and communications and IEEE internet of things and IEEE cyber, physical and social computing, pp. 1129–1132. IEEE (2013)

    Google Scholar 

  25. Ma, Z., Shang, X., Fu, X., Luo, F.: The architecture and key technologies of Internet of Things in logistics. In: International conference on cyberspace technology (CCT 2013), pp. 464–468. IET (2013)

    Google Scholar 

  26. Awotunde, J.B., Jimoh, R.G., Folorunso, S.O., Adeniyi, E.A., Abiodun, K.M., Banjo, O.O.: Privacy and security concerns in IoT-based healthcare systems. In: Patrick Siarry, M.A., Jabbar, R.A., Abraham, A., Madureira, A. (eds.) The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care. IT, pp. 105–134. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-75220-0_6

    Chapter  Google Scholar 

  27. Rani, S.S., Alzubi, J.A., Lakshmanaprabu, S.K., Gupta, D., Manikandan, R.: Optimal users based secure data transmission on the internet of healthcare things (IoHT) with lightweight block ciphers. Multimedia Tools Appl. 79(47–48), 35405–35424 (2019). https://doi.org/10.1007/s11042-019-07760-5

    Article  Google Scholar 

  28. Frazão, T.D., Camilo, D.G., Cabral, E.L., Souza, R.P.: Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps. BMC Med. Inform. Decis. Mak. 18(1), 1–16 (2018)

    Article  Google Scholar 

  29. Dimitrioglou, N., Kardaras, D., Barbounaki, S.:. Multicriteria evaluation of the Internet of Things potential in health care: the case of dementia care. In: 2017 IEEE 19th Conference on Business Informatics (CBI), vol. 1, pp. 454–462. IEEE (2017)

    Google Scholar 

  30. Drake, J.I., de Hart, J.C.T., Monleón, C., Toro, W., Valentim, J.: Utilization of multiple-criteria decision analysis (MCDA) to support healthcare decision-making FIFARMA, 2016. J. Market Access Health Policy 5(1), 1360545 (2017)

    Article  Google Scholar 

  31. Ferrag, M.A., Maglaras, L.A., Janicke, H., Jiang, J., Shu, L.: Authentication protocols for internet of things: a comprehensive survey. Secur. Commun. Netw. 2017, 1–41 (2017). https://doi.org/10.1155/2017/6562953

    Article  Google Scholar 

  32. Castellani, A.P., Bui, N., Casari, P., Rossi, M., Shelby, Z., Zorzi, M.:. Architecture and protocols for the internet of things: a case study. In: 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 678–683. IEEE (2010)

    Google Scholar 

  33. Saadeh, M., Sleit, A., Qatawneh, M., Almobaideen, W.: Authentication techniques for the internet of things: a survey. In: 2016 Cybersecurity and Cyberforensics Conference (CCC), pp. 28–34. IEEE (2016)

    Google Scholar 

  34. Awotunde, J.B., Folorunso, S.O., Bhoi, A.K., Adebayo, P.O., Ijaz, M.F.: Disease diagnosis system for IoT-based wearable body sensors with machine learning algorithm. In: Bhoi, A.K., Mallick, P.K., Mohanty, M.N., de Albuquerque, V.H.C. (eds.) Hybrid Artificial Intelligence and IoT in Healthcare. ISRL, vol. 209, pp. 201–222. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-2972-3_10

    Chapter  Google Scholar 

  35. Elhoseny, M., Ramírez-González, G., Abu-Elnasr, O.M., Shawkat, S.A., Arunkumar, N., Farouk, A.: Secure medical data transmission model for IoT-based healthcare systems. IEEE Access 6, 20596–20608 (2018)

    Article  Google Scholar 

  36. Shackelford, S.J., Mattioli, M., Myers, S., Brady, A., Wang, Y., Wong, S.: Securing the Internet of healthcare. Minn. JL Sci. & Tech. 19, 405 (2018)

    Google Scholar 

  37. Abiodun, M.K., Awotunde, J.B., Ogundokun, R.O., Adeniyi, E.A., Arowolo, M.O.: Security and information assurance for IoT-based big data. In: Misra, S., Tyagi, A.K. (eds.) Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities. SCI, vol. 972, pp. 189–211. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-72236-4_8

    Chapter  Google Scholar 

  38. Wu, J., Feng, Y., Sun, P.: Sensor fusion for recognition of activities of daily living. Sensors 18(11), 4029 (2018)

    Article  Google Scholar 

  39. Chen, Y., Ding, S., Xu, Z., Zheng, H., Yang, S.: Blockchain-based medical records secure storage and medical service framework. J. Med. Syst. 43(1), 1–9 (2019)

    Article  Google Scholar 

  40. Fan, K., Wang, S., Ren, Y., Li, H., Yang, Y.: Medblock: efficient and secure medical data sharing via blockchain. J. Med. Syst. 42(8), 1–11 (2018)

    Article  Google Scholar 

  41. Li, H., Zhu, L., Shen, M., Gao, F., Tao, X., Liu, S.: Blockchain-based data preservation system for medical data. J. Med. Syst. 42(8), 1–13 (2018)

    Article  Google Scholar 

  42. Zhang, A., Lin, X.: Towards secure and privacy-preserving data sharing in e-health systems via consortium blockchain. J. Med. Syst. 42(8), 1–18 (2018)

    Article  MathSciNet  Google Scholar 

  43. Zubaydi, H.D., Chong, Y.W., Ko, K., Hanshi, S.M., Karuppayah, S.: A review on the role of blockchain technology in the healthcare domain. Electronics 8(6), 679 (2019)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Joseph Bamidele Awotunde or Quoc Trung Pham .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Awotunde, J.B., Misra, S., Pham, Q.T. (2022). A Secure Framework for Internet of Medical Things Security Based System Using Lightweight Cryptography Enabled Blockchain. In: Dang, T.K., Küng, J., Chung, T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2022. Communications in Computer and Information Science, vol 1688. Springer, Singapore. https://doi.org/10.1007/978-981-19-8069-5_17

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-8069-5_17

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8068-8

  • Online ISBN: 978-981-19-8069-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics