Comparison of Data Mining Algorithms in Intrusion Detection Application
Kuang Yin-hu · Modern Computer · 2009
Aiming at the current problem of false positives, omissions and lack of self-adapt ability in the intrusion detection system, the four kinds of important classification algorithms in ODM, i.e.,Decision Tree Classification Algorithm,Support Vector Machine Classification Algorithm, Naive Bayes Algorithm and Binary Logistic Regression Algorithm. Uses them to model and test on the experimental data. Through comparing and analyzing accuracy of the results of the four methods, it proves that the technology used in this article is feasible and the result is accurate, then finds the most usually used,the most direct, the most effective and a cer-tain common-valued algorithm for the practical applications.