Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey
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 enhan...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-09-01
|
| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/16/9/324 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850261304848154624 |
|---|---|
| author | Elias Dritsas Maria Trigka |
| author_facet | Elias Dritsas Maria Trigka |
| author_sort | Elias Dritsas |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6cff9ec51300453faf3eeb459cd7d43d |
| institution | OA Journals |
| issn | 1999-5903 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj-art-6cff9ec51300453faf3eeb459cd7d43d2025-08-20T01:55:27ZengMDPI AGFuture Internet1999-59032024-09-0116932410.3390/fi16090324Machine Learning for Blockchain and IoT Systems in Smart Cities: A SurveyElias Dritsas0Maria Trigka1Athena Research and Innovation Center, Industrial Systems Institute (ISI), 26504 Patras, GreeceAthena Research and Innovation Center, Industrial Systems Institute (ISI), 26504 Patras, GreeceThe 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.https://www.mdpi.com/1999-5903/16/9/324smart citiesmachine learningblockchain technologyinternet of thingsanalysis |
| spellingShingle | Elias Dritsas Maria Trigka Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey Future Internet smart cities machine learning blockchain technology internet of things analysis |
| title | Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey |
| title_full | Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey |
| title_fullStr | Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey |
| title_full_unstemmed | Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey |
| title_short | Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey |
| title_sort | machine learning for blockchain and iot systems in smart cities a survey |
| topic | smart cities machine learning blockchain technology internet of things analysis |
| url | https://www.mdpi.com/1999-5903/16/9/324 |
| work_keys_str_mv | AT eliasdritsas machinelearningforblockchainandiotsystemsinsmartcitiesasurvey AT mariatrigka machinelearningforblockchainandiotsystemsinsmartcitiesasurvey |