Monitoring Web Browsing Habits of User Using Web Log Analysis and Role-Based Web Accessing Control

Abstract

Computer network in campus is an essential facility for education. The university network was proposed to provide student knowledge accessibility. Student in undergraduate school sometimes get involved with many study distractions, and also including using the campus network in the wrong direction. Redundant connections in campus network are always main problem with very challenging study to the way to overcome this problem. The aim of research is in two paths, the first is to measure the bad web access habit of undergraduate student in campus computer laboratory room by capturing, and identify unwanted web connection from every connection from the room. The second path is use the result of the first part to develop web access filtering algorithm to control the campus outgoing web connection. This study, we using role-based web accessing control (Context RBAC) model for filtering system and content-based analysis for measuring the quality of each web. Firstly, the web quality keywords are set and extracted from web log by text mining algorithm. Then, the ontology of web quality keywords is created. The ontology of keywords makes accurate controlling web access of students. We implemented and embedded algorithm into a web browser and running the experiment on nursing and software engineering students of Chiang Mai University. Students are assigned role for RBAC and task to search on specified contents. The embedded algorithm monitored their browsing and blocked unrelated web. From experiment, it is found that the algorithm able to check accessing web more accurate than keywords without ontology. The web, not related on given content, was blocked or limited accessing. In this research, we combine role-based web accessing control and content base monitoring to control web accessing of student in campus. The ontology of content keywords increases accurate blocking unrelated web. Ontology adds more semantic relation to keywords.



Author Information
Phudinan Singkhamfu, Chiang Mai University, Thailand
Parinya Suwanasrikham, Chiang Mai University, Thailand

Paper Information
Conference: ACSET2013
Stream: Education

This paper is part of the ACSET2013 Conference Proceedings (View)
Full Paper
View / Download the full paper in a new tab/window


Posted by amp21