Intrusion detection model using fusion of chi-square feature selection and multi class SVM

Intrusion detection model using fusion of chi-square feature selection and multi class SVM

Intrusion detection is a promising area of research in the domain of security with the rapid development of internet in everyday life. Many intrusion detection systems (IDS) employ a sole classifier algorithm for classifying network traffic as normal or abnormal. Due to the large amount of data, the...

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Bibliographic Details
Main Authors: Ikram Sumaiya Thaseen, Cherukuri Aswani Kumar
Format: Article
Language:English
Published: Elsevier 2017-10-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Chi square feature selection
Cross validation
Intrusion detection
Radial basis kernel
Support vector machine
Variance
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157816300076

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http://www.sciencedirect.com/science/article/pii/S1319157816300076

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