Intelligent Agent-Based Intrusion Detection System Using Enhanced Multiclass SVM

Intrusion detection systems were used in the past along with various techniques to detect intrusions in networks effectively. However, most of these systems are able to detect the intruders only with high false alarm rate. In this paper, we propose a new intelligent agent-based intrusion detection m...

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Veröffentlicht in:	Computational Intelligence and Neuroscience 2012-01, Vol.2012 (2012), p.317-326
Hauptverfasser:	Ganapathy, Sannasi, Yogesh, Palanichamy, Kannan, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Computer Communication Networks Cybersecurity Data security False alarms Intrusion detection systems Machine learning Management Models, Theoretical Network security Pattern Recognition, Automated - methods Security software Studies Support Vector Machine
Online-Zugang:	Volltext
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