AI-enabled security mechanisms for WLANs: ensuring robust and adaptive protection in wireless networks

Wireless Local Area Networks (WLANs) have become important to current digital infrastructures, linking various devices and enabling smooth data transmission. However, their ubiquity makes them attractive targets for cybercriminals, who constantly look for imaginative techniques to access wireless networks. With its predictive, adaptive, and very responsive defense, artificial intelligence (AI) presents a potent weapon for enhancing WLAN security. Examining how machine learning models detect and minimize risks with unheard-of speed and accuracy, this paper investigates the possibilities of AI-enabled security measures. Different approaches—including autonomous decision-making and real-time data analysis—are explored to show how artificial intelligence might find zero-day exploits and advanced cyberattacks. Furthermore, illuminating effective practices for strong wireless defense are important results from literature and pragmatic uses. The paper ends by stressing the possibilities and difficulties of including artificial intelligence in WLAN security and outlining future directions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.17192237
Primary Topic
Paleopathology and ancient diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-enabled security mechanisms for WLANs: ensuring robust and adaptive protection in wireless networks

Zenodo (CERN European Organization for Nuclear Research)
Paleopathology and ancient diseases
article

AI-enabled security mechanisms for WLANs: ensuring robust and adaptive protection in wireless networks

article en

Abstract

Wireless Local Area Networks (WLANs) have become important to current digital infrastructures, linking various devices and enabling smooth data transmission. However, their ubiquity makes them attractive targets for cybercriminals, who constantly look for imaginative techniques to access wireless networks. With its predictive, adaptive, and very responsive defense, artificial intelligence (AI) presents a potent weapon for enhancing WLAN security. Examining how machine learning models detect and minimize risks with unheard-of speed and accuracy, this paper investigates the possibilities of AI-enabled security measures. Different approaches—including autonomous decision-making and real-time data analysis—are explored to show how artificial intelligence might find zero-day exploits and advanced cyberattacks. Furthermore, illuminating effective practices for strong wireless defense are important results from literature and pragmatic uses. The paper ends by stressing the possibilities and difficulties of including artificial intelligence in WLAN security and outlining future directions.

Zenodo (CERN European Organization for Nuclear Research)
Film Independent (US)
Openalex Percentile: Top 41%
Paleopathology and ancient diseases
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AI-enabled security mechanisms for WLANs: ensuring robust and adaptive protection in wireless networks · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS