Intrusion Detection System Using Means of Data Mining By Using C 4.5 Algorithm
Journal: International Journal of Application or Innovation in Engineering & Management (IJAIEM) (Vol.4, No. 5)Publication Date: 2015-06-20
Authors : Meghana Solanki; Vidya Dhamdhere;
Page : 395-401
Keywords : Keywords: Classification; Intrusion Detection System (IDS); Kernel Function; KDD; Pre-processing; C 4.5 etc;
Abstract
ABSTRACT Intrusion compromise Security as well as privacy of a system. Intrusion Detection System (IDS) plays fundamental role in network security as it detects numerous categories of attacks in case of network. For this reason, we are proposing Intrusion Detection System using data mining technique: C 4.5 .Here, Classification will be done by using C 4.5 and some experiments using KDD Cup’99 dataset are conducted for confirming the effective in case of proposed system . The C 4.5 is used as the most famous classification algorithms in case of data mining area. For implementing proposed system KDD Cup’99 data set is used to perform some experiment. from results it is proved that time required to build C 4.5 model can be reduced by using proper data set pre-processing. Also system increases attack detection rate in case of C 4.5 .it also decreases False Positive Rate (FPR) .
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Last modified: 2015-06-15 13:53:25