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Citations for "A K-Means and Naive Bayes Learning Approach for Better Intrusion Detection"


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Asif-Iqbal, H., N.I. Udzir, R. Mahmod and A.A.A. Ghani, 2011. Filtering events using clustering in heterogeneous security logs. Inform. Technol. J., 10: 798-806.
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Hashemi, V.M., Z. Muda and W. Yassin, 2013. Improving intrusion detection using genetic algorithm. Inform. Technol. J., 12: 2167-2173.
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Hsu, S.C., 2012. The RFM-based institutional customers clustering: case study of a digital content provider. Inform. Technol. J., 11: 1193-1201.
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Lei, X. and P. Zhou, 2012. An intrusion detection model based on GS-SVM Classifier. Inform. Technol. J., 11: 794-798.
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Liu, S.L, Y.H. Liu, Y.F. Tang and R.H. Jiang, 2012. A novel pattern recognition approach based on immunology. Inform. Technol. J., 11: 134-140.
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Rasheed, M.M., O. Ghazali and N.M. Norwawi, 2012. Intelligent signature detection for scanning internet worms. Inform. Technol. J., 11: 760-767.
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Rasheed, M.M., O. Ghazali and R. Budiarto, 2012. Fast detection of stealth and slow scanning worms in transmission control protocol. J. Applied Sci., 12: 2156-2163.
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Citations in impact factor journal as recorded by Crossref logo


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