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A Validity-Based Approach For Feature Selection In Intrusion Detection Systems, Eljilani Hmouda
A Validity-Based Approach For Feature Selection In Intrusion Detection Systems, Eljilani Hmouda
CCE Theses and Dissertations
Intrusion detection systems are tools that detect and remedy the presence of malicious activities. Intrusion detection systems face many challenges in terms of accurate analysis and evaluation. One such challenge is the involvement of many features during analysis, which leads to high data volume and ultimately excessive computational overhead. This research surrounds the development of a new intrusion detection system by employing an entropy-based measure called v-measure to select significant features and reduce dimensionality. After the development of the intrusion detection system, this feature reduction technique was tested on public datasets by applying machine learning classifiers such as Decision Tree, …