Enhancing security in 6G-enabled wireless sensor networks for smart cities: a multi-deep learning intrusion detection approach

Enhancing security in 6G-enabled wireless sensor networks for smart cities: a multi-deep learning intrusion detection approach

IntroductionWireless Sensor Networks (WSNs) play a critical role in the development of sustainable and intelligent smart city infrastructures, enabling data-driven services such as smart mobility, environmental monitoring, and public safety. As these networks evolve under 6G connectivity frameworks,...

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Bibliographic Details
Main Authors: Waqar Khan, Muhammad Usama, Muhammad Shahbaz Khan, Oumaima Saidani, Hussam Al Hamadi, Noha Alnazzawi, Mohammed S. Alshehri, Jawad Ahmad
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Sustainable Cities
Subjects:
6G
wireless sensor networks
smart cities
multi-deep learning
intrusion detection
anomaly detection
Online Access:https://www.frontiersin.org/articles/10.3389/frsc.2025.1580006/full
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