Smart City Gnosys

Smart city article details

Title Machine Learning For Blockchain And Iot Systems In Smart Cities: A Survey
ID_Doc 35956
Authors Dritsas E.; Trigka M.
Year 2024
Published Future Internet, 16, 9
DOI http://dx.doi.org/10.3390/fi16090324
Abstract The integration of machine learning (ML), blockchain, and the Internet of Things (IoT) in smart cities represents a pivotal advancement in urban innovation. This convergence addresses the complexities of modern urban environments by leveraging ML's data analytics and predictive capabilities to enhance the intelligence of IoT systems, while blockchain provides a secure, decentralized framework that ensures data integrity and trust. The synergy of these technologies not only optimizes urban management but also fortifies security and privacy in increasingly connected cities. This survey explores the transformative potential of ML-driven blockchain-IoT ecosystems in enabling autonomous, resilient, and sustainable smart city infrastructure. It also discusses the challenges such as scalability, privacy, and ethical considerations, and outlines possible applications and future research directions that are critical for advancing smart city initiatives. Understanding these dynamics is essential for realizing the full potential of smart cities, where technology enhances not only efficiency but also urban sustainability and resilience.
Author Keywords analysis; blockchain technology; internet of things; machine learning; smart cities


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