Feature Optimization and Performance Improvement of a Multiclass Intrusion Detection System using PCA and ANN

Abstract

There are several bottle necks in the process of high speed intrusion detection, of which large dimensionality is one of the major problem. We have employed the Principal Component Analysis (PCA) algorithm to handle this problem, through which we have improved the performance of the Artificial Neural Network (ANN) classifier for intrusion detection. With… (More)

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@inproceedings{Varma2012FeatureOA, title={Feature Optimization and Performance Improvement of a Multiclass Intrusion Detection System using PCA and ANN}, author={Ravi Varma and V. Meena Kumari and Fariba Haddadi and Sara Khanchi and Mehran Shetabi and Vali Derhami and Tudor Petreuş and CE Cotrutz and Mariana Neamtu and E. C. Buruiana and P. D. Sirbu and Andrei Neamtu and Jason L. Wright and Milos Mamic and Leila Mechtri and Fatiha Djemili Tolba and Varun Chandola and Arindam Banerjee and Vipin Kumar and Yana Demidova and Maksym Ternovoy}, year={2012} }