AN APPROACH FOR IDS BY COMBINING SVM AND ANT COLONY ALGORITHM

Subaira.A.S, Anitha.P, Anjusree.S, Vinothini.C

Abstract: 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 implemented and evaluated using standard benchmark KDDCUP99 data set. Experimental results drastically well produce superior results than the other algorithm in terms of accuracy rate and run time efficiency, and this algorithm able to detect the new types of attacks

Keywords: Intrusion Detection; Support Vector Machine; Ant colony; Combined Support vector with ant colony

DOI: https://doi.org/10.15623/ijret.2014.0303086