An AI-driven adaptive security framework for wireless sensor networks in smart city environments

Authors

https://doi.org/10.22105/sci.v2i2.39

Abstract

As smart cities evolve, Wireless Sensor Networks (WSNs) are crucial in real-time data collection and monitoring. However, cyber-attacks increasingly target these networks, necessitating advanced security solutions. AI-powered security protocols offer a promising approach, using Machine Learning (ML) to detect and respond to threats in real time. This paper explores the application of AI-driven security mechanisms within smart city WSNs, including intrusion detection, anomaly detection, and automated response protocols. Simulations indicate that AI-based security models significantly enhance network resilience, reduce attack response time, and improve data integrity, making them ideal for future smart city deployments.

Keywords:

AI-powered security, Smart city, Wireless sensor networks, Machine learning, Intrusion detection

References

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Published

2025-06-26

Issue

Vol. 2 No. 2 (2025): Smart City Insights

Section

Articles

Categories

How to Cite

Parandavar, Z., & Pourqasem, J. (2025). An AI-driven adaptive security framework for wireless sensor networks in smart city environments. Smart City Insights, 2(2), 109-118. https://doi.org/10.22105/sci.v2i2.39

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