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Intrusion Detection in Computer Networks using a Fuzzy-Heuristic Data Mining Technique

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Academic year: 2017

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TABLE 1 shows parameter requirement that we have used in our computer simulations for SAF- SAF-IDS
TABLE 2: C LASSIFICATION RATE AND COST FOR TRAINING DATA SET  WITH THE NUMBER OF RULES
TABLE  3  shows  that  for  normal  traffic  recognition,  SAF-IDS  obtains  better  Precision  and  F- F-measure rates than other classifier and both KDD-Cup99 Winner and SAF-IDS can achieve high  recall rates
TABLE 4: A CCURACY AND CLASSIFICATION COST OF  DIFFERENT CLASSIFIERS

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