Fuzzy classifier design for network intrusion detection using the gravitational search algorithm

Статья в журнале

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.

Журнал:

• Journal of Physics Conference Series
• Institute of Physics and IOP Publishing Limited (Bristol)
• Индексируется в Scopus

Библиографическая запись: Fuzzy classifier design for network intrusion detection using the gravitational search algorithm / M. Bardamova [et. al.] // Journal of Physics: Conference Series. – IOP Publishing. – 2019. – Vol. 1145. – Is. 1. – С. 012008. – DOI: 10.1088/1742-6596/1145/1/012008

Индексируется в:

• Scopus ( https://www.scopus.com/record/display.uri?eid=2-s2.0-85060009280&origin=resultslist&sort=plf-f&src=s&sid=4031c3ebcdd6e1f696485ff9a691580c&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2857193792669%29&relpos=0&citeCnt=0&searchTerm= )