Analyzing Ip Phone Data In Cisco Packet Tracer: A Comparative Study Of Different Network Topologies Using Machine Learning And Network Analysis Methods
Keywords:
Communication networks, IP Phones, Cisco Packet Tracer, Data Science Techniques, Network optimization.Abstract
In the contemporary business landscape, communication networks are indispensable for seamless operations. IP phones are pivotal in facilitating effective voice communication. This study delves into analyzing network data using IP phones within different topologies in Cisco Packet Tracer. By Leveraging data mining and machine learning techniques, it seeks to expose valuable insights into network performance, traffic patterns, and potential vulnerabilities. These findings hold significant promise for network optimization, performance enhancement, and fortified security measures. This research provides advantages to network administrators and data scientists and contributes to the overall reliability and efficiency of IP phone networks, ensuring they are well-equipped to meet the demands of the modern digital era.
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