IMPROVING SECURITY IN WIRELESS MOBILE COMMUNICATION THROUGH MACHINE LEARNING: INSIGHTS FROM GSM AND TDMA APPROACHES

Wireless communication allows for the exchange of information between numerous locations without the use of physical means like cables or optical fibers. Wireless security, a critical component of Wi-Fi networks, protects against unauthorized access and data breaches. Wireless solutions, unlike conventional communication, do not require infrastructure or cable maintenance. The research seeks to improve the user experience in wireless mobile communication by utilizing machine learning technologies for security considerations. It looks at how machine learning, together with Global System for Mobile Communication (GSM) and Time Division Multiple Access (TDMA) technologies, can be used to improve wireless security. The study predicts that as technology advances, there will be a greater reliance on wireless communication around the world. Furthermore, it underscores the importance of providing future-proof security solutions for wireless users, particularly in contexts where wiring individual devices is impractical due to the scale of digital networks.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-15
DOI
https://doi.org/10.5281/zenodo.18062576
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

IMPROVING SECURITY IN WIRELESS MOBILE COMMUNICATION THROUGH MACHINE LEARNING: INSIGHTS FROM GSM AND TDMA APPROACHES

Journal of Theoretical and Applied Information Technology
Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

IMPROVING SECURITY IN WIRELESS MOBILE COMMUNICATION THROUGH MACHINE LEARNING: INSIGHTS FROM GSM AND TDMA APPROACHES

Journal of Theoretical and Applied Information Technology
article en

Abstract

Wireless communication allows for the exchange of information between numerous locations without the use of physical means like cables or optical fibers. Wireless security, a critical component of Wi-Fi networks, protects against unauthorized access and data breaches. Wireless solutions, unlike conventional communication, do not require infrastructure or cable maintenance. The research seeks to improve the user experience in wireless mobile communication by utilizing machine learning technologies for security considerations. It looks at how machine learning, together with Global System for Mobile Communication (GSM) and Time Division Multiple Access (TDMA) technologies, can be used to improve wireless security. The study predicts that as technology advances, there will be a greater reliance on wireless communication around the world. Furthermore, it underscores the importance of providing future-proof security solutions for wireless users, particularly in contexts where wiring individual devices is impractical due to the scale of digital networks.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Internet of Things and AI
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