Abstract: In this paper, we propose ensembles of decision trees for intrusion detection. Verification tests have been carried out by using KEEL data set and the benchmark 1999 KDD Cup data set. The results are encouraging and demonstrate the benefits of our approach.
Keywords: intrusion detection, ensemble approaches, decision trees, algorithm c45
Authors and copyright holders:
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For citation:
Hodashinskiy I. A., Del V. A., Anfilofiev A. E. Intrusion detection using an ensembles of decision trees. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2014, no. 2(32), pp. 202–206.
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