Internet Usage Patterns Mining from Firewall Event Logs
Jantima Polpinij, Khanista Namee · 2019
Understanding users' behavior of internet usage is essential for the quality of service (QoS) analysis on the internet. If the internet providers can better understand their users, they may be able to provide better service, and also enhance the quality of the service. In general, the information about users' behavior is stored as the internet access log files, called event logs, on the server. To have the patterns of users' behavior from the event logs, this work aims to extract an interesting pattern of inappropriate user behaviors through the method of internet usage patterns mining. The primary mechanism of the proposed method is the Generalized Sequential Pattern (GSP) algorithm, which is an algorithm of sequential pattern mining. This study uses real event logs from an organization in Thailand. The results have identified exciting findings that have made possible to propose some improvements and increasing the QoS of the internet service.