Improving Accuracy of Intrusion Detection Model Using PCA and optimized SVM

Improving Accuracy of Intrusion Detection Model Using PCA and optimized SVM

Intrusion detection is very essential for providing security to different network domains and is mostly used for locating and tracing the intruders. There are many problems with traditional intrusion detection models (IDS) such as low detection capability against unknown network attack, high false a...

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Bibliographic Details
Main Authors: Sumaiya Thaseen Ikram, Aswani Kumar Cherukuri
Format: Article
Language:English
Published: University of Zagreb Faculty of Electrical Engineering and Computing 2016-06-01
Series:Journal of Computing and Information Technology
Subjects:
cross validation
dimensionality reduction
intrusion reduction system
principal component analysis
radial basis function kernel
support vector machine
Online Access:http://cit.fer.hr/index.php/CIT/article/view/2701/2061

Internet

http://cit.fer.hr/index.php/CIT/article/view/2701/2061

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