Accurate Intrusion Detection Based On Feature Optimization Using Plant Grow Algorithm

  • Moti Kumari Bhabha Engineering Research Institute, MP, Bhopal, India
  • Monika Raghuvanshi Bhabha Engineering Research Institute, MP, Bhopal, India
Keywords: IDS, Feature Matrix, SVM, Accuracy, Precision, Recall, KDDCUP99, Machine Learning, features, Detection


The process of features reduction enhanced the performance of the intrusion detection system. Nowadays used various features reduction algorithms are used for static as well as dynamic features reduction. The feature reduction technique behaves in dual mode. The reduction of features cannot have fixed how many features are reducing for the better detection process of intrusion. The process of features reduction used plant grow optimization algorithm and classification using support vector machine algorithm.


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How to Cite
Kumari, M., & Raghuvanshi, M. (2021). Accurate Intrusion Detection Based On Feature Optimization Using Plant Grow Algorithm. International Journal of Advanced Computer Technology, 10(4), 01-05. Retrieved from