International Journal of Network Security & Its Applications (IJNSA)ISSN 0974 - 9330 (Online); 0975 - 2307 (Print)http://airccse.org/journal/ijnsa.html
PERFORMANCE EVALUATION OF J48 AND BAYES
ALGORITHMS FOR INTRUSION DETECTION SYSTEM
ABSTRACTRecent advances in the field of Artificial Intelligence has urged many security experts to follow this novelarea. Extensive work has already been done, and much more efforts are being put to use the techniques ofAI to improve the real time security. With lot of algorithms and techniques already in the market, it hasbecome quite difficult to choose a particular algorithm,judging the fact that none proves to be accurate andefficient than the others. During the detailed study of major machine learning algorithms, we found certainalgorithms more accurate than the other. In this paper, we have chosen two different techniques ofdifferentiating the normal traffic from the intrusions. The results show J48 more efficient and accurate thanthe Naïve Bayes algorithm.
Thursday, September 14, 2017
International Journal of Network Security & Its Applications (IJNSA)
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International Journal of Network Security & Its Applications (IJNSA) - ERA, WJCI Indexed
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International Journal of Network Security & Its Applications (IJNSA) ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print) http://airccse.org/...
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