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Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD'06)
A Software Tool for Network Traffic Analysis
Las Vegas, Nevada
June 19-June 20
ISBN: 0-7695-2611-X
ASCII Text
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F. Sun, H. Tzeng, "A Software Tool for Network Traffic Analysis," Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on, pp. 190-196, Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD'06), 2006.
 
 
BibTex
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@article{ 10.1109/SNPD-SAWN.2006.10,
author = {F. Sun and H. Tzeng},
title = {A Software Tool for Network Traffic Analysis},
journal ={Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on},
volume = {0},
year = {2006},
isbn = {0-7695-2611-X},
pages = {190-196},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD-SAWN.2006.10},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on
TI - A Software Tool for Network Traffic Analysis
SN - 0-7695-2611-X
SP190
EP196
A1 - F. Sun,
A1 - H. Tzeng,
PY - 2006
KW - null
VL - 0
JA - Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on
ER -
 
F. Sun, Ball State University, IN
H. Tzeng, Ball State University, IN
This paper describes a network traffic analysis software tool, which provides searching, visualization, and preprocessing functions with a user-friendly GUI implemented in Java language. Within the huge network traffic data collected, a user can identify any particular packets using various searching functions provided. Visualization presents the analyzed result in a different setting to further enhance the analysis. The GUI in Java allows the tool to be used in different platforms. This tool is tested and demonstrated through several real network datasets.
Citation:
F. Sun, H. Tzeng, "A Software Tool for Network Traffic Analysis," snpd-sawn, pp.190-196, Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD'06), 2006
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