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Intrusion Detection Systems Using Decision Trees and Support Vector Machines  (Make Corrections)  
Sandhya Peddabachigari, Ajith Abraham, Johnson Thomas Department of Computer ...



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Abstract: Security of computers and the networks that connect them is increasingly becoming of great significance. Intrusion detection is a mechanism of providing security to computer networks. Although there are some existing mechanisms for Intrusion detection, there is need to improve the performance. Data mining techniques are a new approach for Intrusion detection. In this paper we investigate and evaluate the decision tree data mining techniques as an intrusion detection mechanism and we... (Update)

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BibTeX entry:   (Update)

@misc{ ajith-intrusion,
  author = "Sandhya Peddabachigari Ajith",
  title = "Intrusion Detection Systems Using Decision Trees and Support Vector Machines",
  url = "citeseer.ist.psu.edu/741190.html" }
Citations (may not include all citations):
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268   Making Large-Scale SVM Learning Practical - Joachims - 1998
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9   An Introduction to Intrusion Detection (context) - Sundaram - 1996  ACM
8   Intrusion Detection Using Neural Networks and Support Vector.. (context) - Mukkamala, Janoski et al. - 2002
8   ADAM: A Testbed for Exploring the Use of Data Mining in Intr.. (context) - Barbara, Couto et al. - 2001  DBLP
5   Data Mining Research: Opportunities and Challenges (context) - Grossman, Kasif et al. - 1998
3   An Empirical Comparison of Kernel Selection for Support Vect.. (context) - Ali, Abraham - 2002  DBLP
1   The Nature of Statistical Learning Theory (context) - Valdimir - 1995  ACM

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