Securing smart cities through machine learning: A honeypot‐driven approach to attack detection in Internet of Things ecosystems

Securing smart cities through machine learning: A honeypot‐driven approach to attack detection in Internet of Things ecosystems

Abstract The rapid increase and adoption of Internet of Things (IoT) devices have introduced unprecedented conveniences into modern life. However, this growth has also ushered in a wave of cyberattacks targeting these often‐vulnerable systems. Smart cities, relying on interconnected sensors, are par...

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Bibliographic Details
Main Authors: Yussuf Ahmed, Kehinde Beyioku, Mehdi Yousefi
Format: Article
Language:English
Published: Wiley 2024-09-01
Series:IET Smart Cities
Subjects:
artificial intelligence
computer network security
data analytics and machine learning
data structures
information security and privacy
IoT and mobile communications
Online Access:https://doi.org/10.1049/smc2.12084
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https://doi.org/10.1049/smc2.12084

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