A data reduction strategy and its application on scan and backscatter detection using rule-based classifiers.

•A novel data reduction strategy is presented.•Multi measure strategy is used to reduce the number of features.•Training data is significantly reduced, without greatly affecting the IDS accuracy.•Boost up the detection process speed.•Does not require large computational resources to process a huge amount of data.