Enhanced Intrusion Detection System Using Data Reduction: An Ant Colony Optimization Approach

摘要

Intrusion Detection Systems (IDS) are playing a critical role in present day data security systems, wherein there are so many intrusion detection techniques contributing to the purpose partially or fully. In particular, Ant Colony Optimization (ACO) based intrusion detection methods are in action for effective intrusion detection. In this paper, an enhanced heuristic algorithm has been proposed with sensitivity and specificity factors for increasing the success rate in the intrusion detection. Data Patterns have been extracted from the network data effectively using the proposed heuristic algorithm. The Knowledge discovery from databases (KDD) dataset is used as input and the proposed approach increased the percentage of intrusion detection as compared with the conventional methods.