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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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/55033 |
| _version_ | 1811696592418242560 |
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| author | Zhang, Ran |
| author2 | Ng Wee Keong |
| author_facet | Ng Wee Keong Zhang, Ran |
| author_sort | Zhang, Ran |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T07:41:49Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/55033 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:41:49Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering Zhang, Ran Defending against distributed denial of service (DDoS) attack |
| title | 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_short | Defending against distributed denial of service (DDoS) attack |
| title_sort | defending against distributed denial of service ddos attack |
| topic | DRNTU::Engineering |
| url | http://hdl.handle.net/10356/55033 |
| work_keys_str_mv | AT zhangran defendingagainstdistributeddenialofserviceddosattack |