A Robust Intrusion Detection System by Utilizing Support Vector Machine and Error Back Propagation Neural Network
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 7
Abstract
The concept of Intrusion Detection System is used in the work. The data set is used for training and testing. Various numeric features of dataset are selected for better accuracy.SVM that is Support Vector Machine is trained for classifying normal and intruded sessions in the dataset. The work is tested in various parameters like Accuracy, Recall, precision and F measure. Once the Intruded sessions are found, EBPNN that is Error Back Propagation Neural network is Trained and Tested for the type of intrusion they are DOS, R2l, U2R and Probe. The Accuracy is tested in second module also on the Basis of Recall, Precision, and F measure.
Authors and Affiliations
Gaurav Soni, Rachna Trivedi
Keywords
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- EP ID EP22348
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