An approach for intrusion detection using fuzzy feature clustering

This work discusses the approach for intrusion detection and classification by devising a membership function, inspired from [43] and is used in this work to carry the dimensionality reduction of processes present in the training set. The reduced process representation is then used to perform classification and prediction for detecting intrusion. The reduced representation of processes retains the system call distribution same as the initial process representation.