Application of Improved LF Algorithm in Intrusion Detection
Zhao Yao-feng · Computer and Modernization · 2013
In order to improve the detection rate and reduce the false detection rate of intrusion detection systems,the basic ant colony clustering based on the ant heap classification model LF algorithm has been improved.These measures mainly include four aspects,they are direct positioning,global guidance,neighborhood linearly decreasing and ball neighborhood range.The LF algorithm improves the KDD Cup 1999 data set simulation testing,has higher detection rate and lower false detection rate,and the new algorithm has a fast running speed,not easy to fall into local optimum advantages.