Year: 2024
Type: article
Abstract: This paper examines a blockchain-based security framework of Internet of Things (IoT) in smart cities, resolving vital challenges of data integrity, privacy, scalability and trust. The aim is to examine how blockchain dynamics, combined with AI, software-defined networks and federated learning, have the potential to protect IoT-based municipal systems. A secondary research approach was implemented using peer-reviewed investigations and the IEEE to summarize evidence in several frameworks. This methodology was cost-efficient and helped to have the holistic picture of the role of blockchain without conducting primary data. The results indicate that decentralised blockchain regimes enhance up to 97% in accuracy in detecting anomalies, 45% risks in of denial-of-service, and even 92% on stakeholder trust. The use of smart contracts shores up transparency in governance, whereas federated learning protects privacy in distributed IoT environments. In general, the study finds that blockchain provides a scalable, robust, and transparent base on which to build security around smart city environments and add sustainable, trusted digital transformation.
Author: Jyoti G
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7217433187