Cybersecurity in a Scalable Smart City Framework Using Blockchain and Federated Learning for Internet of Things (IoT)
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| Publicado en: | Smart Cities vol. 7, no. 5 (2024), p. 2802 |
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| Otros Autores: | , , , , |
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MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 2624-6511 | ||
| 024 | 7 | |a 10.3390/smartcities7050109 |2 doi | |
| 035 | |a 3120737519 | ||
| 045 | 2 | |b d20240101 |b d20241231 | |
| 100 | 1 | |a Seyed Salar Sefati |u Telecommunications Department, Faculty of Electronics, Telecommunications and Information Technology, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania; Department of Software Engineering, Faculty of Engineering and Natural Science, Istinye University, Istanbul 34460, Türkiye | |
| 245 | 1 | |a Cybersecurity in a Scalable Smart City Framework Using Blockchain and Federated Learning for Internet of Things (IoT) | |
| 260 | |b MDPI AG |c 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a <sec sec-type="highlights">HighlightsWhat are the main findings?Implementation of blockchain enhances the security and scalability of smart city frameworks.Federated Learning enables efficient and privacy-preserving data sharing among IoT devices.What are the implications of the main finding?The proposed framework significantly reduces the risk of data breaches in smart city infrastructures.Improved data privacy and security can foster greater adoption of IoT technologies in urban environments.AbstractSmart cities increasingly rely on the Internet of Things (IoT) to enhance infrastructure and public services. However, many existing IoT frameworks face challenges related to security, privacy, scalability, efficiency, and low latency. This paper introduces the Blockchain and Federated Learning for IoT (BFLIoT) framework as a solution to these issues. In the proposed method, the framework first collects real-time data, such as traffic flow and environmental conditions, then normalizes, encrypts, and securely stores it on a blockchain to ensure tamper-proof data management. In the second phase, the Data Authorization Center (DAC) uses advanced cryptographic techniques to manage secure data access and control through key generation. Additionally, edge computing devices process data locally, reducing the load on central servers, while federated learning enables distributed model training, ensuring data privacy. This approach provides a scalable, secure, efficient, and low-latency solution for IoT applications in smart cities. A comprehensive security proof demonstrates BFLIoT’s resilience against advanced cyber threats, while performance simulations validate its effectiveness, showing significant improvements in throughput, reliability, energy efficiency, and reduced delay for smart city applications. | |
| 653 | |a Smart cities | ||
| 653 | |a Data management | ||
| 653 | |a Data integrity | ||
| 653 | |a Urban environments | ||
| 653 | |a Internet of Things | ||
| 653 | |a Privacy | ||
| 653 | |a Blockchain | ||
| 653 | |a Edge computing | ||
| 653 | |a Cities | ||
| 653 | |a Cryptography | ||
| 653 | |a Automation | ||
| 653 | |a Real time | ||
| 653 | |a Federated learning | ||
| 653 | |a Energy consumption | ||
| 653 | |a Cybersecurity | ||
| 700 | 1 | |a Craciunescu, Razvan |u Telecommunications Department, Faculty of Electronics, Telecommunications and Information Technology, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania | |
| 700 | 1 | |a Arasteh, Bahman |u Department of Software Engineering, Faculty of Engineering and Natural Science, Istinye University, Istanbul 34460, Türkiye; Department of Computer Science, Khazar University, Baku AZ1096, Azerbaijan | |
| 700 | 1 | |a Halunga, Simona |u Telecommunications Department, Faculty of Electronics, Telecommunications and Information Technology, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania; Academy of Romanian Scientists, 05044 Bucharest, Romania | |
| 700 | 1 | |a Fratu, Octavian |u Telecommunications Department, Faculty of Electronics, Telecommunications and Information Technology, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania; Academy of Romanian Scientists, 05044 Bucharest, Romania | |
| 700 | 1 | |a Tal, Irina |u Lero, School of Computing, Dublin City University, D09 V209 Dublin, Ireland | |
| 773 | 0 | |t Smart Cities |g vol. 7, no. 5 (2024), p. 2802 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3120737519/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3120737519/fulltextwithgraphics/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3120737519/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |