KM-NEU: an efficient hybrid approach for intrusion detection system
Due to the widespread use of Internet and communication networks, a reliable and secure network plays a crucial role for Information Technology (IT) service providers and users. The hardness of network attacks as well as their complexities has also increased lately. The anomaly-based Intrusion Detec...
Main Authors: | Lisehroodi, Mazyar Mohammadi, Muda, Zaiton, Yassin, Warusia, Udzir, Nur Izura |
---|---|
Format: | Article |
Published: |
Academic Journals
2014
|
Similar Items
-
A hybrid framework based on neural network MLP and means clustering for intrusion detection system
by: Lisehroodi, Mazyar Mohammadi, et al.
Published: (2013) -
A hybrid framework based on neural network MLP and K-means clustering for intrusion detection system
by: Lisehroodi, Mazyar Mohammadi, et al.
Published: (2013) -
A K-Means and Naive Bayes learning approach for better intrusion detection
by: Muda, Zaiton, et al.
Published: (2011) -
Anomaly-based intrusion detection through K-Means clustering and Naives Bayes classification
by: Yassin, Warusia, et al.
Published: (2013) -
Intrusion detection based on k-means clustering and OneR classification
by: Muda, Zaiton, et al.
Published: (2011)