Statistical Intrusion Detector with Instance-Based Learning


Statistical detector requires a good and small database of regular data to be able to validate the actual traffic correctly and promptly. Therefore we considered reduction techniques of gathered data, based on clustering. We adjusted the k-nearest Neighbours algorithm by comparing a sequence of actual data with sequences of regular data instead of comparing… (More)


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