Abstract
The Internet pervades many aspects of our lives and is becoming indispensable to critical functions in areas such as commerce, government, production and general information dissemination. To maintain the stability and efficiency of the Internet, every effort must be made to protect it against various forms of attacks, malicious uses, and errors. A key component in the Internet security effort is the routine examination of Internet routing data, which unfortunately can be too large and complicated to browse directly. We have developed an interactive visualization process which proves to be very effective for the analysis of Internet routing data. In this application paper, we show how each step in the visualization process helps direct the analysis and glean insights from the data. These insights include the discovery of patterns, detection of faults and abnormal events, understanding of event correlations, formation of causation hypotheses, and classification of anomalies. We also discuss lessons learned in our visual analysis study.
| Original language | English (US) |
|---|---|
| Pages | 523-530 |
| Number of pages | 8 |
| State | Published - Nov 21 2003 |
| Event | VIS 2003 PROCEEDINGS - Seattle, WA, United States Duration: Oct 19 2003 → Oct 24 2003 |
Other
| Other | VIS 2003 PROCEEDINGS |
|---|---|
| Country | United States |
| City | Seattle, WA |
| Period | 10/19/03 → 10/24/03 |
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Keywords
- Homeland security
- Information visualization
- Internet stability
- Network visualization
- Text visualization
ASJC Scopus subject areas
- Software
- Computer Science(all)
- Engineering(all)
- Computer Graphics and Computer-Aided Design
Cite this
A Visual Exploration Process for the Analysis of Internet Routing Data. / Teoh, Soon Tee; Ma, Kwan-Liu; Wu, S. Felix.
2003. 523-530 Paper presented at VIS 2003 PROCEEDINGS, Seattle, WA, United States.Research output: Contribution to conference › Paper
}
TY - CONF
T1 - A Visual Exploration Process for the Analysis of Internet Routing Data
AU - Teoh, Soon Tee
AU - Ma, Kwan-Liu
AU - Wu, S. Felix
PY - 2003/11/21
Y1 - 2003/11/21
N2 - The Internet pervades many aspects of our lives and is becoming indispensable to critical functions in areas such as commerce, government, production and general information dissemination. To maintain the stability and efficiency of the Internet, every effort must be made to protect it against various forms of attacks, malicious uses, and errors. A key component in the Internet security effort is the routine examination of Internet routing data, which unfortunately can be too large and complicated to browse directly. We have developed an interactive visualization process which proves to be very effective for the analysis of Internet routing data. In this application paper, we show how each step in the visualization process helps direct the analysis and glean insights from the data. These insights include the discovery of patterns, detection of faults and abnormal events, understanding of event correlations, formation of causation hypotheses, and classification of anomalies. We also discuss lessons learned in our visual analysis study.
AB - The Internet pervades many aspects of our lives and is becoming indispensable to critical functions in areas such as commerce, government, production and general information dissemination. To maintain the stability and efficiency of the Internet, every effort must be made to protect it against various forms of attacks, malicious uses, and errors. A key component in the Internet security effort is the routine examination of Internet routing data, which unfortunately can be too large and complicated to browse directly. We have developed an interactive visualization process which proves to be very effective for the analysis of Internet routing data. In this application paper, we show how each step in the visualization process helps direct the analysis and glean insights from the data. These insights include the discovery of patterns, detection of faults and abnormal events, understanding of event correlations, formation of causation hypotheses, and classification of anomalies. We also discuss lessons learned in our visual analysis study.
KW - Homeland security
KW - Information visualization
KW - Internet stability
KW - Network visualization
KW - Text visualization
UR - http://www.scopus.com/inward/record.url?scp=0242676079&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0242676079&partnerID=8YFLogxK
M3 - Paper
SP - 523
EP - 530
ER -