Anomaly Detection Method for a Local Area Network

Abstract:

This paper shows the development of an anomaly detection method for a local area network. This research work aims to use an unsupervised machine learning algorithm that integrates different network management tools for anomaly detection. The experiment includes the description of three essential modules: variable definition and protocol configuration, network monitoring and data collection, and fault pbkp_rediction. SNMP, ICMP, and WMI communication protocols were selected to collect information about the current state of the network, and variables such as latency, packet loss, availability, traffic volume, and speed were defined. The network was polled by temperature sensors, CPU consumption, memory consumption. Network probing was done through the PRTG network monitor and access to the collected data was done through APIs, which were formatted to a template with the structure corresponding to …

Año de publicación:

2022

Keywords:

Fuente:

google