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AN APPROACH FOR IDS BY COMBINING SVM AND ANT COLONY ALGORITHM
2014
International Journal of Research in Engineering and Technology
This piece of work researches the intrusion detection problem of the network sanctuary; the primary task is to classify network behavior as normal or abnormal while reducing misclassification. In this paper, two efficient data mining algorithms are combined together to detect the network intrusion. Combining SVM and Ant colony (CSVAC) used for well-organized data classification, this technique takes the advantage of both the algorithm while avoiding their weaknesses. This algorithm is
doi:10.15623/ijret.2014.0303086
fatcat:534vuss4dffydaotngmzk3uqda