Intrusion detection based on the semi-supervised Fuzzy C-Means clustering algorithm

The intrusion detection algorithm based on the supervised learning has a high detection rate, but all the labeled data which hard to collect are needed when the algorithm used. Meanwhile the intrusion detection algorithm based on the unsupervised learning has a high False Positive Rate. In this pape...

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Veröffentlicht in:	2012 2nd International Conference on Consumer Electronics, Communications and Networks S. 2667 - 2670
Hauptverfasser:	Feng Guorui, Zou Xinguo, Wu Jian
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2012
Schlagworte:	Algorithm design and analysis Charge carrier processes Clustering algorithms Decision support systems FCM Hafnium compounds Intrusion detection KDD CUP 99 semi-supervised Zirconium
ISBN:	9781457714146, 1457714140
Online-Zugang:	Volltext
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