Network anomaly detection using IP flows with Principal Component Analysis and Ant Colony Optimization
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- 作者：Gilberto Fernandes Jr.a ; gil.fernandes6@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Luiz F. Carvalhob ; luizfcarvalhoo@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Joel J.P.C. Rodriguesa ; c ; joeljr@ieee.org" class="auth_mail" title="E-mail the corresponding author ; Mario Lemes Proenç ; a Jr.b ; proenca@uel.br" class="auth_mail" title="E-mail the corresponding author
- 关键词：Traffic characterization ; Anomaly detection ; Network management ; Principal Component Analysis (PCA) ; Ant Colony Optimization (ACO) ; Dynamic Time Warping (DTW)
- 刊名：Journal of Network and Computer Applications
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：64
- 期：Complete
- 页码：1-11
- 全文大小：2660 K
文摘
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Anomaly detection issue is addressed based on network traffic profiling.
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Proposal and comparison of detection methods belonging to distinct algorithm classes.
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Detection mechanism constructed over an adaptation of a pattern matching technique.
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Use of real and simulated traffic to evaluate the proposed methods.
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Traffic patterns that may harm the network operations are proactively identified.