References
- S. Abbas et al., “Modeling, Simulation and Optimization of Power Plant Energy Sustainability for IoT Enabled Smart Cities Empowered with Deep Extreme Learning Machine,” IEEE Access, vol. 8, 2020, pp. 39982–97.
- S. Nakamoto et al., “Bitcoin: A Peer-to-Peer Electronic Cash System,” Manubot, 2019.
- C. Badiiet al., “Smart City IoT Platform Respecting GDPR Privacy and Security Aspects,” IEEE Access, vol. 8, 2020, pp. 23601–23.
- G. S. Aujla et al., “BlockSDN: Blockchain-as-a-Service for Software Defined Networking in Smart City Applications,” IEEE Network, vol. 34, no. 2, 2020, pp. 83–91.
- S. Tanwar et al., “Machine Learning Adoption in Block-chain-Based Smart Applications: The Challenges, and a Way Forward,” IEEE Access, vol. 8, 2020, pp. 474–88.
- G. Li et al., “Preserving Edge Knowledge Sharing Among IoT Services: A Blockchain-Based Approach,” IEEE Trans. Emerging Topics in Computational Intelligence, 2020, pp. 1–13.
- Z. Zhou et al., “Secure and Efficient Vehicle-to-Grid Energy Trading in Cyber Physical Systems: Integration of Blockchain and Edge Computing,” IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 50, no. 1, 2020, pp. 43–57.
- J. Wu et al., “Application-Aware Consensus Management for Software-Defined Intelligent Blockchain in IoT,” IEEE Network, vol. 34, no. 1, 2020, pp. 69–75.
- Y. H. Park et al., “Blockchain-Based Model for Trustworthy Shared Internet of Things Device Management,” Proc. 2020 Int’l. Conf. Electronics, Information, and Commun. (ICEIC), IEEE, 2020, pp. 1–2.
- M. Moore, P. Gould, and B. S. Keary, “Global Urbanization and Impact on Health,” Int’l. J. flygiene and Environmental flealth, vol. 206, no. 4-5, 2003, pp. 269–78.
- S. Aggarwal et al., “Blockchain for Smart Communities: Applications, Challenges and Opportunities,” J. Network and Computer Applications, vol. 144, 2019, pp. 13–48.
- M. Andoni et al., “Blockchain Technology in the Energy Sector: A Systematic Review of Challenges and Opportunities,” Renewable and Sustainable Energy Reviews, vol. 100, 2019, pp. 143–74.
- G. B. Huang, D. H. Wang, and Y. Lan, “Extreme Learning Machines: A Survey,” Int’l. J. Machine Learning and Cybernetics, vol. 2, no. 2, 2011, pp. 107–22.
- “NSL-KDD,” Kaggle.com, 2020, available: https://www.kaggle.com/hassan06/nslkdd; accessed: 15 Jan 2020.
- “Network Intrusion Detection,” Kaggle.com, 2020, available: https://www.kaggle.com/sampadab17/network-intrusion-detection; accessed: 26 Aug. 2020.