id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_pqny4mzrtbhwzm3pbmam6e6erq	Mehdi Hosseinzadeh Aghdam	Text feature selection using ant colony optimization	2009	13	.pdf	application/pdf	9307	744	61	Due to the nonlinear nature of the intrusion attempts, unpredictable behavior of the network traffic and the large number of features in the problem space, Keywords: Ant colony optimization, feature selection, intrusion detection system intrusion detection problem, the data mining [14], machine learning [25] and immune system [37] approaches The classifier performance and the length of selected feature subset are adopted as heuristic information for ACO. employed the effectiveness of IDS in terms of real-time performance and detection accuracy from the feature selection perspective [7]. to the number of features within the data set; each ant classified by the IDS divided by the total number of intrusion records present in the test data set. Table 7: Detection rate per record of KDD Cup 99 for the different algorithms performances on the test data set N. Yazdani, "Mutual information-based feature selection for intrusion detection systems," International	./cache/work_pqny4mzrtbhwzm3pbmam6e6erq.pdf	./txt/work_pqny4mzrtbhwzm3pbmam6e6erq.txt