Abstract: A method of detecting an internet attack against a computing device is disclosed. The method of detecting an internet attack against a computing device comprising the steps of receiving a plurality of incoming network packets; extracting a plurality of incoming feature packets based on the plurality of incoming network packets; predicting a predicted incoming feature packet based on the plurality of incoming feature packets; obtaining a first classification data based on one of the incoming feature packets using a first classifier; obtaining a second classification data based on the predicted incoming feature packet by using a second classifier; and performing at least one remedy action if the first classification data or the second classification data identifies the internet intrusion attack; wherein each of the plurality of incoming feature packets and the predicted incoming feature packet comprise a plurality of incoming features and a plurality of predicted features respectively.

Abstract: A method of detecting network intrusion based on improved support vector machine is disclosed. The method comprises the steps of identifying a plurality of features; computing information gain of each of the features; selecting a pre-determined number of features based on the computed information gain and augmenting that set of pre-determined number of features with special features to form a set of selected features; and classifying a network connection based on the selected features using support vector machine. In order to achieve better detection accuracy, cross-validation and grid-search are applied to select the radial basis function for the support vector machine.