Machine Learning (ML) Technologies
Abstract
This research paper aims to analyze ML technologies primarily used in physical security, their tangible results, and the impact of these trends on the future of physical security.
Description
The advancements in wireless network communication technologies have led to tremendous data storage across the globe. The most stored information is an aspect of widespread worldwide networking connecting devices. These devices' capability improves each day, which connotes increased generation and dissemination of information. Similarly, mobile primary network topologies have become diverse and complex, increasing cases of security breaches. Such cases have hampered the uptake of available mobile devices, which has long been accentuated by a wide variety of computation, data provision, storage, and application services to global end-users (Eaneff, Obermeyer, & Butte, 2020). In such cases, it becomes vital to safeguard data and monitor its use to avoid misuse.
Keywords
Keywords: ML technologies, cybersecurity, physical security, wireless network, devices, information