Novel machine learning techniques for anomaly intrusion detection
Y Wang, J Wang, A Miner - AMCIS 2004 Proceedings, 2004 - aisel.aisnet.org
This paper explores the methodology of using kernels and Support Vector Machine (SVM)
for intrusion detection. A new insight into two well known anomaly detection algorithms-
STIDE and Markov Chain anomaly detectors, is achieved using kernel theory. We introduce
two new classes of kernels used for intrusion detection–STIDE kernel and Markov Chain
kernel. These kernels combined with SVM are presented to achieve improvements over
STIDE and Markov Chain anomaly detectors. We provide empirical evidence that the new …
for intrusion detection. A new insight into two well known anomaly detection algorithms-
STIDE and Markov Chain anomaly detectors, is achieved using kernel theory. We introduce
two new classes of kernels used for intrusion detection–STIDE kernel and Markov Chain
kernel. These kernels combined with SVM are presented to achieve improvements over
STIDE and Markov Chain anomaly detectors. We provide empirical evidence that the new …
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