Defending against distributed denial of service (DDoS) attack

Abstract

Early stage denial of service detection is an important aspect in network security.

However, the analyzing of the data generates too much information and it is hard for

researchers to analyze the data. Network visualization techniques had been

implemented for researchers to view and analyze the network traffic, the purpose of this

research is to build a real time visualization tool for the Swarm network that allow the

researchers to view and analyze the real time network traffic. The research result could

indeed help the researcher to improve the research efficiency, the researchers could us

the research result in this report to help them choose the most suitable tool in t heir

research. In my research, 3 different network visualization techniques has been studied

and implemented to compare the efficiency and effectiveness of visualizing large size of

data. Multiple sources of data had been used to test the efficiency of different tools, the

comparison include size of data, source of data (dynamic or static), layout, ranking. A

real time network visualization tool had been built to help the researcher to view and

analyze the data in real time. The research result could help researchers choose the

right visualization tool in viewing the large amount of data in real time. The research

result indeed shows that Graph stream is the best tool that can be used to visualize the

SWARM network.