Feature selection approach for intrusion detection system based on pollination algorithm

An intrusion detection system refers to the systems which detect the security breaches in a network. The main goal of IDS is to detect the attacks and raise alarms if an attack is found. These IDS has limitation of raising false alarms and this limitation depends on improper classification of attacks due to high dimensionality of data on a network. Improper classification is due to improper feature selection. To overcome this limitation, optimization of feature selection technique is proposed in this paper. Pollination based optimization technique is proposed which eventually improves feature selection in high dimensional data of IDS and achieve reduction in false alarms.