Fuzzy classifier design for network intrusion detection using the gravitational search algorithm
Marina Bardamova, Anton Aleksandrovich Konev, I. A. Hodashinsky, Alexander Alexandrovich Shelupanov · Journal of Physics Conference Series · 2019
The purpose of the work is to describe the method of constructing systems for detection network intrusion based on an effective fuzzy classifier. Use of the gravitational search algorithm for feature selection and tuning the parameters of the fuzzy classifier is described. The effectiveness of the developed fuzzy classifiers was investigated using the KDD Cup 1999 data set.