Network security visualization system based on Flume
Moon Ho Song · Journal of tianjin University of Technology · 2015
With the rapid growth of Internet users, the network security issues grows accordingly. Traditional intrusion detection system based on log has defects such as real-time insufficiency and cognition burden in dealing with huge amounts of information.This paper proposed one visualization method of network security log based on the Flume, Which collected network security log in real-time by using the efficiency of Flume and combined with data visualization technology to digest the hidden information of unexpected network. Compared with traditional safety analysis based on database storage, the realtime of data processing can be largely improved, and the unexpected network can be presented more visually.