Intrusion detection using optimal genetic feature selection and SVM based classifier

@article{Senthilnayaki2015IntrusionDU,
  title={Intrusion detection using optimal genetic feature selection and SVM based classifier},
  author={B. Senthilnayaki and K. Venkatalakshmi and Ashwin Kannan},
  journal={2015 3rd International Conference on Signal Processing, Communication and Networking (ICSCN)},
  year={2015},
  pages={1-4}
}
In the recent years, the rapid advancement of computer networks has led to many security problems by malicious users to the modern computer systems. Hence, it is necessary to detect illegitimate users by monitoring the unusual user activities in the network. In this paper, we propose an Intrusion Detection System (IDS) which uses a genetic algorithm based feature selection approach and a Support vector machine based classification algorithm. The combination of feature selection using the newly… CONTINUE READING