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.