Encoding Approach for Intrusion Detection Using PCA and KNN Classifier-Reference-Cited by-同舟云学术

Encoding Approach for Intrusion Detection Using PCA and KNN Classifier

Published:2020 Issue: Volume: Page:187-199
ISSN:2194-5357
Container-title:Proceedings of the Third International Conference on Computational Intelligence and Informatics
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Author:

Sameera Nerella,Shashi M.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-1480-7_15

Reference17 articles.

1. Loubna, D., B. Ahmed, E. Hoda, A. Elmoutaoukkil, F. Eladnani, and A. Benihssane. 2015. A Survey of Intrusion Detection System, © IEEE. 978-1-4799-8172-4/15.

2. https.www.youtube.comwatchv=du8YTUgOCJ0. Accessed Sept 2018.

3. Saxena, H., and V. Richariya. 2014. Intrusion Detection in KDD99 Dataset Using SVM-PSO and Feature Reduction with Information Gain 98 (6).

4. Karegowda, A.G., A.S. Manjunath, and M.A. Jayaram. 2010. Comparative Study of Attribute Selection Using Gain Ratio and Correlation Based Feature Selection. International Journal of Information Technology and Knowledge Management 2 (2): 271–277.

5. Peng, K., V.C. Leung, and Q. Huang. 2018. Clustering Approach Based on Mini Batch K means for Intrusion Detection System over Big Data. IEEE Access.

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