Skip to main content
SpringerLink
Log in

A Big Data-Driven Model for Secured Systems: A Blockchain-Based Architecture for Cloud Computing and IoT Security

  • Conference paper
  • First Online:
Advances on Smart and Soft Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1399))

Abstract

With the advent of new networked elements such as smart cities, smart homes, the remarkable development of the Internet of things (IoT) has been driven, which has enabled the use of small devices to manage and perform complex tasks. Around these devices has come the incessant collection of a mass of unstructured data that sometimes needs to be analyzed and stored in the cloud computing, which has enabled the development of multiple applications for their proper functioning. The biggest challenge of information systems, especially when using IoT and cloud computing, remains the security of the data and the permanent availability of the information. Blockchain is one of the promising solutions applied to the various security problems today. In this paper, we propose a new architecture based on blockchain technology to ensure the security of IoT and cloud computing. A literature review on the use of blockchain for IoT security has also been presented.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
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. Nassiri, K., Arbi, E., Alaoui, A., Mejdoub, Y., Rachdi, Y., Nassiri, K., Arbi, E., Alaoui, A., Mejdoub, Y., Rachdi, Y., De, L.: L’ utilisation de la blockchain pour la sécurité de l’ internet des objets . To cite this version: HAL Id: hal-02296372 (2019)

    Google Scholar 

  2. Yazdinejad, A., Parizi, R.M., Dehghantanha, A., Zhang, Q., Choo, K.-K.R.: An energy-efficient sdn controller architecture for IoT networks with blockchain-based security. IEEE Trans. Serv. Comput. 1374, 1–1 (2020). https://doi.org/10.1109/tsc.2020.2966970

    Article  Google Scholar 

  3. Abraham, M., Aithal, H., Mohan, K.: Real time smart contracts for IoT using blockchain and collaborative intelligence based dynamic pricing for the next generation smart toll application (2020)

    Google Scholar 

  4. Shen, M., Tang, X., Zhu, L., Du, X., Guizani, M.: Privacy-preserving support vector machine training over blockchain-based encrypted IoT data in smart cities. IEEE Internet Things J. 6, 7702–7712 (2019). https://doi.org/10.1109/JIOT.2019.2901840

    Article  Google Scholar 

  5. Dorri, A., Kanhere, S.S., Jurdak, R., Gauravaram, P.: LSB: a lightweight scalable blockchain for IoT security and anonymity. J. Parallel Distrib. Comput. 134, 180–197 (2019). https://doi.org/10.1016/j.jpdc.2019.08.005

    Article  Google Scholar 

  6. Ren, Z., Liu, X., Ye, R., Zhang, T.: Security and privacy on internet of things. In: Proceeding 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication ICEIEC 2017, pp. 140–144 (2017). https://doi.org/10.1109/ICEIEC.2017.8076530

  7. Gavrilović, N., Mishra, A.: Software architecture of the internet of things (IoT) for smart city, healthcare and agriculture: analysis and improvement directions. J. Ambient Intell. Human. Comput. (2020). https://doi.org/10.1007/s12652-020-02197-3

    Article  Google Scholar 

  8. Fan, J., Zhang, Y., Wen, W., Gu, S., Lu, X., Guo, X.: The future of internet of things in agriculture : plant high-throughput phenotypic platform. J. Clean. Prod. 280, 123651 (2021). https://doi.org/10.1016/j.jclepro.2020.123651

  9. Alani, S., Mahmood, S.N., Attaallah, S.Z., Mhmood, H.S.: IoT based implemented comparison analysis of two well-known network platforms for smart home automation. 442–450 (2021). https://doi.org/10.11591/ijece.v11i1.pp442-450

  10. Bharadwaj, H.K., Agarwal, A., Chamola, V., Member, S., Lakkaniga, N.R.: A review on the role of machine learning in enabling IoT based healthcare applications. 38859–38890 (2021). https://doi.org/10.1109/ACCESS.2021.3059858

  11. Morais, I.D.E., Filho, B., Aquino, G., Malaquias, R., Girão, G., Rennan, S., Melo, M.: An IoT-based healthcare platform for patients in ICU beds during the COVID-19 outbreak. 9 (2021). https://doi.org/10.1109/ACCESS.2021.3058448

  12. Yang, J., Xia, H., Wang, Y., Tian, H.: Simulation of badminton sports injury prediction based on the internet of things and wireless sensors. Microprocess. Microsyst. 103676 (2020). https://doi.org/10.1016/j.micpro.2020.103676

  13. Zhou, Y., Chen, X.: Simulation of sports big data system based on markov model and IoT system. Microprocess. Microsyst. 103525 (2020). https://doi.org/10.1016/j.micpro.2020.103525

  14. Series, I.O.P.C., Science, M.: An intelligent framework for traffic management system using narrow an intelligent framework for traffic management system using narrow band-IoT (2021). https://doi.org/10.1088/1757-899X/1055/1/012127

  15. Vass, T.D.: IoT in supply chain management: opportunities and challenges for businesses in Early Industry 4.0 Context. 14, 148–161 (2021)

    Google Scholar 

  16. Menezes, L.N.D., Cristine, M., Lira, D.A., Neiva, L.S.: IoT and knowledge economy: two strong pillars of industry 4.0. 0–5 (2021)

    Google Scholar 

  17. Yuan, Y., Wang, F.Y.: Blockchain and cryptocurrencies: model, techniques, and applications. IEEE Trans. Syst. Man Cybern. Syst. 48, 1421–1428 (2018). https://doi.org/10.1109/TSMC.2018.2854904

    Article  Google Scholar 

  18. Peters, G.W., Panayi, E.: Understanding modern banking ledgers through blockchain technologies: future of transaction processing and smart contracts on the internet of money. New Econ. Wind 239–278 (2016). https://doi.org/10.1007/978-3-319-42448-4_13

  19. Jaag, C., Bach, C.: Blockchain technology and cryptocurrencies: opportunities for postal financial services. Chang. Post. Deliv. Sect. 41, 205–221 (2017). https://doi.org/10.1007/978-3-319-46046-8_13

    Article  Google Scholar 

  20. Harris, W.L., Wonglimpiyarat, J.: Blockchain platform and future bank competition. Foresight 21(6), 625–639. https://doi.org/10.1108/FS-12-2018-0113 (2019)

  21. Wang, H., Zheng, Z., Xie, S., Dai, H.N., Chen, X.: Blockchain challenges and opportunities: a survey. Int. J. Web Grid Serv. 14, 352 (2018). https://doi.org/10.1504/ijwgs.2018.10016848

    Article  Google Scholar 

  22. Gogerty, N., Zitoli, J.: DeKo: an electricity-backed currency proposal. SSRN Electron. J. (2012). https://doi.org/10.2139/ssrn.1802166

    Article  Google Scholar 

  23. Peter, D.: Appropriated to enhance online learning? Open Univ. Repos. Res. Publ. Other Res. Outputs 1–6 (2015)

    Google Scholar 

  24. Lu, H., Huang, K., Azimi, M., Guo, L.: Blockchain technology in the oil and gas industry: a review of applications, opportunities, challenges, and risks. IEEE Access 7, 41426–41444 (2019). https://doi.org/10.1109/ACCESS.2019.2907695

    Article  Google Scholar 

  25. Carboni, D.: Feedback based reputation on top of the bitcoin blockchain (2015)

    Google Scholar 

  26. Dennis. R, Owen, G.: Rep on the block: a next generation reputation system based on the blockchain. In: 2015 10th International Conference for Internet Technology and Secured Transactions (ICITST) 2015, pp. 131–138 (2016). https://doi.org/10.1109/ICITST.2015.7412073

  27. Zheng, Z., Xie, S., Dai, H.-N., Chen, X., Wang, H.: Blockchain challenges and opportunities: a survey. Int. J. Web Grid Serv. 14, 1–24 (2017). 10125/41338

    Google Scholar 

  28. Komninos, N., Philippou, E., Pitsillides, A.: Survey in smart grid and smart home security: issues, challenges and countermeasures. IEEE Commun. Surv. Tutorials 16, 1933–1954 (2014). https://doi.org/10.1109/COMST.2014.2320093

    Article  Google Scholar 

  29. Ling, Z., Liu, K., Xu, Y., Jin, Y., Fu, X.: An end-to-end view of IoT security and privacy. In: 2017 IEEE Global Communications Conference GLOBECOM 2017—Proceeding 2018, pp. 1–7 (2017). https://doi.org/10.1109/GLOCOM.2017.8254011

  30. Gao, Y., Member, I., Chen, Y., Lin, H., Rodrigues, J.J.P.C.: Blockchain based secure IoT data sharing framework for SDN-enabled smart communities. 514–519 (2020)

    Google Scholar 

  31. Choo, K.-K.R., Yan, Z., Meng, W.: Blockchain in industrial IoT applications: security and privacy advances, challenges and opportunities. IEEE Trans. Ind. Inf. 1–1 (2020). https://doi.org/10.1109/tii.2020.2966068

  32. Dong, G., Wang, X.: A secure IoT data integrity auditing scheme based on consortium blockchain. 246–250 (2020)

    Google Scholar 

  33. Putz, B., Dietz, M., Empl, P., Pernul, G.: EtherTwin: blockchain-based secure digital twin information management. Inf. Process. Manage. 58, 102425 (2021). https://doi.org/10.1016/j.ipm.2020.102425

Download references

Author information

Authors and Affiliations

  1. Mohammed V University, Rabat 4 Ibn Batouta Avenue, Rabat, Morocco

    Aristide Ndayikengurukiye, Abderrahmane Ez-Zahout & Fouzia Omary

Authors
  1. Aristide Ndayikengurukiye
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Abderrahmane Ez-Zahout
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fouzia Omary
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Aristide Ndayikengurukiye .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Faisal Saeed

  2. Department of Computer Science, Nottingham Trent University, Nottingham, UK

    Tawfik Al-Hadhrami

  3. Faculty of Sciences, University of Hassan II, Casablanca, Morocco

    Errais Mohammed

  4. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Mohammed Al-Sarem

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

Ndayikengurukiye, A., Ez-Zahout, A., Omary, F. (2022). A Big Data-Driven Model for Secured Systems: A Blockchain-Based Architecture for Cloud Computing and IoT Security. In: Saeed, F., Al-Hadhrami, T., Mohammed, E., Al-Sarem, M. (eds) Advances on Smart and Soft Computing. Advances in Intelligent Systems and Computing, vol 1399. Springer, Singapore. https://doi.org/10.1007/978-981-16-5559-3_33

Download citation

Publish with us

Policies and ethics

Search

Navigation