Intrusion detection based on ant colony algorithm of fuzzy clustering

An intrusion detection method based on ant colony fuzzy clustering was proposed, The algorithm uses ant colony algorithm is a strong ability to deal with local minima, it better than random selected cluster centers cause iterative process into a local optimal solution, dynamically determine the number and center of clusters.

[1]  Wuling Ren,et al.  Application of Network Intrusion Detection Based on Fuzzy C-Means Clustering Algorithm , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.

[2]  Baldo Faieta,et al.  Diversity and adaptation in populations of clustering ants , 1994 .

[3]  Yong Feng,et al.  Network Anomaly Detection Based on DSOM and ACO Clustering , 2007, ISNN.