Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/55033
Title: Defending against distributed denial of service (DDoS) attack
Authors: Zhang, Ran
Keywords: DRNTU::Engineering
Issue Date: 2013
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.
URI: http://hdl.handle.net/10356/55033
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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