Design of novel fuzzy distribution function for dimensionality reduction and intrusion detection
Gunupudi Rajesh Kumar, Nimmala Mangathayaru, G. Narsimha · 2016
Reducing the processing complexity is main challenge when dealing with intrusion detection systems. The processing complexity is reduced and efficiency is increased if we can reduce the number of dimensions so that only the minimum number of dimensions is retained. This work mainly targets on achieving dimensional reduction for intrusion detection using a novel membership function. The membership function is used to cluster the features in iterative incremental manner and obtains a reduced dimensional representation which retains the original distribution of process data. A case study is discussed to explore working of proposed model.