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Fifth IEEE International Conference on Data Mining (ICDM'05)
Anomaly Intrusion Detection Using Multi-Objective Genetic Fuzzy System and Agent-Based Evolutionary Computation Framework
Houston, Texas
November 27-November 30
ISBN: 0-7695-2278-5
ASCII Text
x 
 
Chi-Ho Tsang, Sam Kwong, Hanli Wang, "Anomaly Intrusion Detection Using Multi-Objective Genetic Fuzzy System and Agent-Based Evolutionary Computation Framework," Data Mining, IEEE International Conference on, pp. 789-792, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/ICDM.2005.26,
author = {Chi-Ho Tsang and Sam Kwong and Hanli Wang},
title = {Anomaly Intrusion Detection Using Multi-Objective Genetic Fuzzy System and Agent-Based Evolutionary Computation Framework},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2005},
issn = {1550-4786},
pages = {789-792},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.26},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining, IEEE International Conference on
TI - Anomaly Intrusion Detection Using Multi-Objective Genetic Fuzzy System and Agent-Based Evolutionary Computation Framework
SN - 1550-4786
SP789
EP792
A1 - Chi-Ho Tsang,
A1 - Sam Kwong,
A1 - Hanli Wang,
PY - 2005
KW - null
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
Chi-Ho Tsang, City University of Hong Kong
Sam Kwong, City University of Hong Kong
Hanli Wang, City University of Hong Kong
In this paper, we present a multi-objective genetic fuzzy system for anomaly intrusion detection. The proposed system extracts accurate and interpretable fuzzy rule-based knowledge from network data using an agent-based evolutionary computation framework. The experimental results on KDD-Cup99 intrusion detection benchmark data demonstrate that our system can achieve high detection rate for intrusion attacks and low false positive rate for normal network traffic.
Citation:
Chi-Ho Tsang, Sam Kwong, Hanli Wang, "Anomaly Intrusion Detection Using Multi-Objective Genetic Fuzzy System and Agent-Based Evolutionary Computation Framework," icdm, pp.789-792, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005
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