Intrusion detection using an ensemble of intelligent paradigms
作者： Srinivas Mukkamala , Andrew H Sung , Ajith Abraham , None
DOI: 10.1016/J.JNCA.2004.01.003
关键词:
摘要: Soft computing techniques are increasingly being used for problem solving. This paper addresses using an ensemble approach of different soft and hard intrusion detection. Due to increasing incidents cyber attacks, building effective detection systems essential protecting information security, yet it remains elusive goal a great challenge. We studied the performance Artificial Neural Networks (ANNs), Support Vector Machines (SVMs) Multivariate Adaptive Regression Splines (MARS). show that ANNs, SVMs MARS is superior individual approaches in terms classification accuracy.
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