Integrating IoT and Machine Learning for Scalable Anomaly Detection in Smart City Infrastructure

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Publication Details

Journal
International Journal of Critical Infrastructures
Published
2025-10-19
DOI
https://doi.org/10.1504/ijcis.2027.10074174
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating IoT and Machine Learning for Scalable Anomaly Detection in Smart City Infrastructure

International Journal of Critical Infrastructures
Anomaly Detection Techniques and Applications
article

Integrating IoT and Machine Learning for Scalable Anomaly Detection in Smart City Infrastructure

article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Critical InfrastructuresVol. 23(3)
Openalex Percentile: Top 84%
Anomaly Detection Techniques and Applications
DOISourceOpenAlex
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Integrating IoT and Machine Learning for Scalable Anomaly Detection in Smart City Infrastructure · International Journal of Critical Infrastructures (2025) | TGRS Research Map | TGRS