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Scientific journal of the
theoretical and applied
The News of Altai State University
Print ISSN 1561-9443
On-line ISSN 1561-9451
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Content of 1-1(77) 2013
Management, Computer Facilities and Computer Science
Mathematics and Mechanics
Management, Computer Facilities and Computer Science

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O.S. Ternovoy, A.S. Shatokhin

Using a Bayesian Classifier for Training Samples Allowing to Determine the Malicious Traffic in Short Intervals

The paper presents an original algorithm for the classifying bad traffic and legitimate traffic. Algorithm is based on the use of Bayes# theorem and Bayesian classifier. The use of this algorithm allows to obtain training samples, which can be used for training neural networks, and various other classifiers, as well as to filter out unwanted traffic.
Key words: DDOS attack, bot network, Bayesian classifier, statistical analysis.

Full text at PDF, 740Kb. Language: Russian.

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