Applying Data Analytics to Findings of User Behaviour Usage in Network Systems

Abstract

This paper proposes a solution for network monitoring and forecasting of user behavior activities in social network applications. This method can describe the log of various types of data, behaviors and traces in the power monitoring system. The monitoring system analyzes by using Pentaho BI open source software to extract the data. In this study, the monitoring system analyzes and identifies types of TCP packets. The monitoring and packet capturing system was implemented on the campus’s wire and wireless LAN network at the Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok during active hours. The system implementation uncovered the percentage of several social media types mostly used in the network during each time period. The result showed that several kinds of data packet such as packet loss, TCP or SYN flooding provided useful information for the network administrator to improve and manage the system.