Intrusion Detection Method Based on Improved Ant Colony-Rough Set Theory
Cai Hai-yang · 2010
An intrusion detection method based on ant colony-rough set theory was proposed.The uncertain data was screened by rough set,and then the modified ant colony algorithm was used for data reduction to reduce the computation time.Finally,rules were exported by ant colony-rough set and detection results were got according to the set threshold.Experimental results show that the data reduction rate with improved ant colony algorithm is higher than genetic algorithm and ant colony algorithm.It has high detection rate and low false detection rate for the DoS and Probe attacks and,also has a better detection rate for U2R and R2L attacks.