MITIGATE THE PROBLEMS FACED BY CURRENT INTRUSION DETECTION SYSTEM

Several classification methods, including neural network (NN), Naive Bayes (NB), decision tree (DT), and support vector machine (SVM), have been used for IDS over the past few decades. Intrusion detection systems (IDSs) are one of the promising technologies for securing data and networks. The goal of this book is to provide researchers with a classification scheme and evaluation of the present state of dataset composition and Intrusion Detection System (IDS) assets and capabilities. These surveys and taxonomies aim to better characterize network threats in future datasets and to increase the effectiveness of intrusion detection systems. This study also contains a taxonomy and assessment of network hazards and supporting tools to help achieve this aim