Open Access
Issue
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
DOI https://doi.org/10.1051/itmconf/20235201001
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: https://www.researchgate.net/publication/344716424_Lightweight_blockchain_network_architecture_for_IoT_devices. [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]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.