Abstract:Machine learning methods have attracted increasing interest in recent studies on intrusion detection. A classifier is applied to discriminate attacks from normal connections in these methods. π-nearest neighbor (πNN) has been widely used in intrusion detection due to its simplicity and effectiveness. The classical πNN exploits Euclidean distance for identifying nearest neighbors, whereas how to compute the distance of data points is highly application-specific and plays a crucial role in the effectiveness o… Show more
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