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Regular version of the site

Book chapter

Intelligent methods for intrusion detection in local area networks

P. 138-149.
Pantiukhin D., Voronkov I. M., Nazarov A.

Review of intelligent methods for intrusion
detection in local area networks is presented. Publically available
datasets of intrusions are shortly described. A problem of
imbalanced classes appointed and approach for batch training of
a neural network intrusion classifier with imbalanced classes is
presented. In computer simulation, it is shown that such approach
helps to train on classes with small amount of examples by the
cost of larger classes.