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Title: :  Reduced Feature Selection of KDDCUP99 Dataset Using Entropy, Gain and SVM Classifier
PaperId: :  11842
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 2 2020
DUI:    16.0415/IJARIIE-11842
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Kusum LataSSSUTMS, Sehore
Mr. Manoj YadavSSSUTMS, Sehore
Mr. Kailash PatidarSSSUTMS, Sehore

Abstract

Computer Science and Engineering
IDS, Security Threats, SVM Classifier, KDDCUP99, Entropy, KNN classifier
Information about ensuring safety in the private sector or the government has become a need. Host intrusion detection systems monitor malicious activities and the management station is a technique that generates reports. Intrusion detection system, the availability of an attack and to protect the integrity of the data used for the detection of attacks. IDS detect intrusions using data mining techniques & other software techniques. The intrusion detection technique can efficiently expand the scope of defense of system. In this work we aim to improve efficiency for intrusion detection system. There are two phases in certain ways, in the first phase, we are using decision tree and SVM classifiers for classification of data and the second phase, we boost both the decision tree and SVM classifiers, and detect intrusion more than a single class classifier system. We are using KNN (k- nearest neighbor) classifier for misclassification data sets to improve detection rate. The kddcup99 dataset is used as a simulation set. KDDCUP 1999 benchmark dataset is used for testing the proposed algorithm and the results are promising and more important, especially high sensitivity, specificity and accuracy to create a model to achieve, that outperforms the existing methods are presented. The result shows that our proposed approach achieves better precision and detection rate by using KNN.

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IJARIIE Kusum Lata, Mr. Manoj Yadav, and Mr. Kailash Patidar. "Reduced Feature Selection of KDDCUP99 Dataset Using Entropy, Gain and SVM Classifier" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 2 2020 Page 1394-1404
MLA Kusum Lata, Mr. Manoj Yadav, and Mr. Kailash Patidar. "Reduced Feature Selection of KDDCUP99 Dataset Using Entropy, Gain and SVM Classifier." International Journal Of Advance Research And Innovative Ideas In Education 6.2(2020) : 1394-1404.
APA Kusum Lata, Mr. Manoj Yadav, & Mr. Kailash Patidar. (2020). Reduced Feature Selection of KDDCUP99 Dataset Using Entropy, Gain and SVM Classifier. International Journal Of Advance Research And Innovative Ideas In Education, 6(2), 1394-1404.
Chicago Kusum Lata, Mr. Manoj Yadav, and Mr. Kailash Patidar. "Reduced Feature Selection of KDDCUP99 Dataset Using Entropy, Gain and SVM Classifier." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 2 (2020) : 1394-1404.
Oxford Kusum Lata, Mr. Manoj Yadav, and Mr. Kailash Patidar. 'Reduced Feature Selection of KDDCUP99 Dataset Using Entropy, Gain and SVM Classifier', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, 2020, p. 1394-1404. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/An_Anomaly_Detection_in_KDD99_with_Reduced_Features_using_Entropy__Gain_and_KNN_classifier_ijariie11842.pdf (Accessed : 11 October 2022).
Harvard Kusum Lata, Mr. Manoj Yadav, and Mr. Kailash Patidar. (2020) 'Reduced Feature Selection of KDDCUP99 Dataset Using Entropy, Gain and SVM Classifier', International Journal Of Advance Research And Innovative Ideas In Education, 6(2), pp. 1394-1404IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/An_Anomaly_Detection_in_KDD99_with_Reduced_Features_using_Entropy__Gain_and_KNN_classifier_ijariie11842.pdf (Accessed : 11 October 2022)
IEEE Kusum Lata, Mr. Manoj Yadav, and Mr. Kailash Patidar, "Reduced Feature Selection of KDDCUP99 Dataset Using Entropy, Gain and SVM Classifier," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, pp. 1394-1404, Mar-App 2020. [Online]. Available: http://ijariie.com/AdminUploadPdf/An_Anomaly_Detection_in_KDD99_with_Reduced_Features_using_Entropy__Gain_and_KNN_classifier_ijariie11842.pdf [Accessed : 11 October 2022].
Turabian Kusum Lata, Mr. Manoj Yadav, and Mr. Kailash Patidar. "Reduced Feature Selection of KDDCUP99 Dataset Using Entropy, Gain and SVM Classifier." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 2 (11 October 2022).
Vancouver Kusum Lata, Mr. Manoj Yadav, and Mr. Kailash Patidar. Reduced Feature Selection of KDDCUP99 Dataset Using Entropy, Gain and SVM Classifier. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : 11 October 2022]; 6(2) : 1394-1404. Available from: http://ijariie.com/AdminUploadPdf/An_Anomaly_Detection_in_KDD99_with_Reduced_Features_using_Entropy__Gain_and_KNN_classifier_ijariie11842.pdf
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