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...

Celý popis

Podrobná bibliografia

Vydané v:	2012 2nd International Conference on Consumer Electronics, Communications and Networks s. 2667 - 2670
Hlavní autori:	Feng Guorui, Zou Xinguo, Wu Jian
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.04.2012
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!