Analyze university network traffic to explore usage behaviour and to detect malicious activities

It is crucial to understand patterns of university traffic and usage behaviour of end users. We address the problem of identifying malicious activities and understanding Internet usage within the university campus. This paper aims at discovering the hidden patterns based on the analysis done on the captured traffic. To tackle the problem, systematically traffic is captured, filtered, managed and then analyzed. Our approach gives analysis based on some python scripts and some open source tools which gives flexibility for distribution and code modification.