Network abnormal behaviour analysis system
Sunoh Choi, Yangseo Choi, Jooyoung Lee, Jonghyun Kim, Ikkyun Kim · 2017
As cyber attacks have increased in recent years, network forensics, which collects and analyses network packets as well as digital forensics, has been studied. However, high-speed networks such as 1 or 10 Gbps networks have many network flows. For example, a 1 Gbps network has hundreds of millions of network flows per day. Analysing network traffic in this situation is very difficult and time-consuming. In this paper, we propose a system that can analyse network abnormal behaviour quickly and easily. We first propose a system that stores the TCP flag when generating network flows. Second, we present some ways to use the TCP flag in network flows to analyse network anomalies such as persistent outbound connections.