- author = "Sunitha Gp and Rio D'Souza",
- booktitle = "2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT)",
- title = "Multiclass genetic programming based approach for classification of intrusions",
- year = "2017",
- pages = "74--78",
- abstract = "Classification plays a major role in distinguishing the normal traffic from the intrusive ones in any intrusion detection system. Different approaches have been used by various researchers to improve the accuracy of the classifiers for binary and multi-class classification problems. Genetic programming (GP) algorithms have been applied in the previous studies and have confirmed that it performs well for classification problems. In our work, we have used a variation of the mutation operation which will be applied when the fitness of the individual does not change significantly for a specified number of generations. Several experiments were conducted using the standard GP method and using the modified mutation operation and the results obtained show that our approach gives good results for multiclass problem in comparison to the standard GP method.",
- keywords = "genetic algorithms, genetic programming, intrusion detection, false positive rate, detection rate, NSL-KDD, multiclass",
-
DOI = "
doi:10.1109/ICATCCT.2017.8389109",
- month = dec,
-
notes = "St Joseph Engineering College, Mangaluru, India
Also known as \cite{8389109}",
