Defending against distributed denial of service (DDoS) attack

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 anal...

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Main Author: Zhang, Ran
Other Authors: Ng Wee Keong
Format: Final Year Project
Language:English
Published: 2013
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Online Access:http://hdl.handle.net/10356/55033
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-550332023-03-03T20:33:36Z Defending against distributed denial of service (DDoS) attack Zhang, Ran Ng Wee Keong School of Computer Engineering DRNTU::Engineering 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. Bachelor of Engineering (Computer Engineering) 2013-12-04T03:15:48Z 2013-12-04T03:15:48Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/55033 en Nanyang Technological University 85 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Zhang, Ran
Defending against distributed denial of service (DDoS) attack
description 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.
author2 Ng Wee Keong
author_facet Ng Wee Keong
Zhang, Ran
format Final Year Project
author Zhang, Ran
author_sort Zhang, Ran
title Defending against distributed denial of service (DDoS) attack
title_short Defending against distributed denial of service (DDoS) attack
title_full Defending against distributed denial of service (DDoS) attack
title_fullStr Defending against distributed denial of service (DDoS) attack
title_full_unstemmed Defending against distributed denial of service (DDoS) attack
title_sort defending against distributed denial of service (ddos) attack
publishDate 2013
url http://hdl.handle.net/10356/55033
_version_ 1759857398886957056