This paper is published in Volume-3, Issue-1, 2017
Area
Security
Author
Aanchal Kumar, Jaspreet Kaur, Inderpreet Kaur
Org/Univ
Rayat Bahra Group of Institutes (P.T.U), Patiala, India
Keywords
Features, SVM, KDD 99, SGD.
Citations
IEEE
Aanchal Kumar, Jaspreet Kaur, Inderpreet Kaur. Novel approach for IDS Classification Support vector machine and adaptive boost, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Aanchal Kumar, Jaspreet Kaur, Inderpreet Kaur (2017). Novel approach for IDS Classification Support vector machine and adaptive boost. International Journal of Advance Research, Ideas and Innovations in Technology, 3(1) www.IJARIIT.com.
MLA
Aanchal Kumar, Jaspreet Kaur, Inderpreet Kaur. "Novel approach for IDS Classification Support vector machine and adaptive boost." International Journal of Advance Research, Ideas and Innovations in Technology 3.1 (2017). www.IJARIIT.com.
Aanchal Kumar, Jaspreet Kaur, Inderpreet Kaur. Novel approach for IDS Classification Support vector machine and adaptive boost, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Aanchal Kumar, Jaspreet Kaur, Inderpreet Kaur (2017). Novel approach for IDS Classification Support vector machine and adaptive boost. International Journal of Advance Research, Ideas and Innovations in Technology, 3(1) www.IJARIIT.com.
MLA
Aanchal Kumar, Jaspreet Kaur, Inderpreet Kaur. "Novel approach for IDS Classification Support vector machine and adaptive boost." International Journal of Advance Research, Ideas and Innovations in Technology 3.1 (2017). www.IJARIIT.com.
Abstract
we perform three sets of experiments. From the first experiment, the systems are trained using all the 41 features. The second experiment where we perform feature selection by using Gain Ratio as to select the best features instead of using all the 41 features and perform the experiment with Linear SVM, SGD and Adaptive Boost and compare the results. The third experiment where we perform feature extraction by using Gain Ratio as to select the best features instead of using all the 41 features and perform the experiment with Linear SVM, SGD and Adaptive Boost and compare the results.
