DistBlockSDN: A Distributed Secure Blockchain Based SDN-IoT Architecture with NFV Implementation for Smart Cities
Abstract
Blockchain, Software Defined Networking (SDN) and the Internet of Things (IoT) are the leading emerging technology all over the world. Blockchain is the main contributor to Bitcoin which aims to ignore the third party among the proceedings. On the contrary, the aims of the IoT network is connected with a massive number of objects over the internet. For smart cities, a distributed secure Blockchain-based SDN-IoT architecture has been proposed in this research paper with Network Function Virtualization (NFV) implementation. We have also revolved around the blockchain network which is a highly secured technology that provides good results in network performances, adaptability, privacy, security, accessibility, versatility, confidentiality, and efficiency. Moreover, we have presented a cluster head selection algorithm which aim is to select the desired head of the clusters. In addition, an approach has been also developed that is more efficient for generating a cluster head utilizing SDN-IoT. SDN-IoT with the NFV conception bring in benefits to the associated areas in terms of energy preservation and load equilibrating. In the projected architecture, the Blockchain network allows more prominent security of each network layer relative to the schematic network.
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FL allows training of AI models through averaging of local updates from numerous healthcare facilities and smart devices, such as IoMT, despite the lack of local data.
“FL allows training of AI models through averaging of local updates from numerous healthcare facilities and smart devices, such as IoMT, despite the lack of local data.”
From Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues (2023) · cites this paper as [15]
FL is a viable method for implementing economic, innovative healthcare systems while ensuring privacy.
“Federated Learning has presented itself as a viable method for implementing economic, innovative healthcare systems while ensuring privacy [11–15].”
From Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues (2023) · cites this paper as [15]
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- Authors
- Rahman, A., Islam, M. J., Sunny, F. A., & Nasir, M. K.
- Affiliations
- Green University of Bangladesh (BD)
- Venue
- 2019 2nd International Conference on Innovation in Engineering and Technology (ICIET)
- Publisher
- IEEE
- Published
- 2019-12-23
- Pages
- 1-6
- OpenAlex
- W3117872415
- Cited by
- 40
- References
- 23
- Citations by year
- 2026: 3 · 2024: 5 · 2023: 8 · 2022: 7 · 2021: 10 · 2020: 7
- FWCI
- 4.78
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Keywords
- blockchain, software-defined networking, Internet of Things, network function virtualization, smart cities, distributed architecture, cluster head selection, energy efficiency, load balancing, network security, Internet of Things security
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