Open Access
ITM Web Conf.
Volume 52, 2023
International Conference on Connected Object and Artificial Intelligence (COCIA’2023)
Article Number 01001
Number of page(s) 7
Section Connected Objects and Systems
Published online 08 May 2023
  1. N. Alaoui, S. Kably, and M. Arioua, “Lightweight blockchain network architecture for IoT devices, ” in The 3rd International Symposium on Advanced Electrical and Communication Technologies (ISAECT2020), 2020, pp. 1-6, doi: 10.1109/ISAECT50116.2020.9308458. [Google Scholar]
  2. B. Mackenzie, R. I. Ferguson, and X. Bellekens, “An Assessment of Blockchain Consensus Protocols for the Internet of Things, ” in Proceedings of the 2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC), 2018, pp. 183–190, doi: 10.1109/IINTEC.2018.8695298. [Google Scholar]
  3. D. Zakariae, E. Abdellah, and B. A. Saïd, “A lightweight blockchain framework for IoT integration in smart cities, ” Turkish Journal of Computer and Mathematics Education, vol. 12, no. 5, pp. 889–894, 2021, doi: 10.17762/turcomat.v12i5.1731. [Google Scholar]
  4. N. Kably, S. Alaoui, M. Arioua, and N. Alaoui, “Lightweight blockchain network architecture for IoT devices, ” 2020. [Online]. Available: [Google Scholar]
  5. S. Biswas, K. Sharif, F. Li, S. Maharjan, S. P. Mohanty, and Y. Wang, “PoBT: A Lightweight Consensus Algorithm for Scalable IoT Business Blockchain, ” IEEE Internet of Things Journal, vol. 7, no. 3, pp. 2343–2355, 2020, doi: 10.1109/JIOT.2019.2958077. [CrossRef] [Google Scholar]
  6. Z. Zheng, S. Xie, H. Dai, X. Chen, and H. Wang, “An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends, ” in Proceedings of the 2017 IEEE 6th International Congress on Big Data (BigData Congress), 2017, pp. 557–564, doi: 10.1109/BigDataCongress.2017.85. [Google Scholar]
  7. S. Kably, M. Arioua, and N. Alaoui, “Lightweight Direct Acyclic Graph Blockchain for Enhancing Resource-Constrained IoT Environment, ” Computational Materials and Continua, vol. 71, no. 2, pp. 5271–5291, 2022, doi: 10.32604/cmc.2022.020833. [CrossRef] [Google Scholar]
  8. S. Kably, T. Benbarrad, N. Alaoui, and M. Arioua, “Multi-Zone-Wise Blockchain Based Intrusion Detection and Prevention System for IoT Environment, ” Computational Materials and Continua, vol. 74, no. 1, pp. 253–278, 2023, doi: 10.32604/cmc.2023.032220. [CrossRef] [Google Scholar]
  9. C. Liang, Z. Guan, J. Shao, L. Zhang, and Q. Wang, “Intrusion detection system for the internet of things based on blockchain and multi-agent systems, ” Electronics, vol. 9, no. 7, pp. 1–27, 2020, doi: 10.3390/electronics9071120. [Google Scholar]
  10. A. A. Elsaeidy, A. Jamalipour, and K. S. Munasinghe, “A Hybrid Deep Learning Approach for Replay and DDoS Attack Detection in a Smart City, ” IEEE Access, vol. 9, pp. 154864-154875, 2021, doi: 10.1109/ACCESS.2021.3128701. [CrossRef] [Google Scholar]
  11. K. Zhang, F. Zhao, S. Luo, Y. Xin, and H. Zhu, “An Intrusion Action-Based IDS Alert Correlation Analysis and Prediction Framework, ” IEEE Access, vol. 7, pp. 150540-150551, 2019, doi: 10.1109/ACCESS.2019.2946921. [CrossRef] [Google Scholar]
  12. W. Li, Y. Wang, J. Li, and M. H. Au, “Toward a blockchain-based framework for challenge-based collaborative intrusion detection, ” International Journal of Information Security, vol. 20, no. 2, pp. 127-139, 2021, doi: 10.1007/s10207-02000488-6. [CrossRef] [Google Scholar]
  13. O. Alkadi, N. Moustafa, B. Turnbull, and K. K. R. Choo, “A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks, ” IEEE Internet of Things Journal, vol. 8, no. 12, pp. 9463-9472, 2021, doi: 10.1109/JIOT.2020.2996590. [CrossRef] [Google Scholar]
  14. R. Qaddoura, A. M. Al-Zoubi, H. Faris, and I. Almomani, “A multi-layer classification approach for intrusion detection in IoT networks based on deep learning, ” Sensors, vol. 21, no. 9, pp. 1-21, 2021, doi: 10.3390/s21092987. [Google Scholar]
  15. S. N. Mohanty et al., “An efficient Lightweight integrated Blockchain (ELIB) model for IoT security and privacy, ” Future Generation Computer Systems, vol. 102, pp. 1027-1037, 2020, doi: 10.1016/j.future.2019.09.050. [CrossRef] [Google Scholar]
  16. P. Singh, A. Nayyar, A. Kaur, and U. Ghosh, “Blockchain and fog based architecture for internet of everything in smart cities, ” Future Internet, vol. 12, no. 4, pp. 1-12, 2020, doi: 10.3390/FI12040061. [CrossRef] [Google Scholar]

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