Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network

Algorithm 4

Algorithm FLDS.

	Input: a data set X with n points, the number of nearest neighbors k, number of clusters , ,
	Output: outliers of X,
	Process:
(1)	Using K-means to split X into clusters
(2)	Using LDS algorithm on each separate cluster to obtain local outliers (using the threshold )
(3)	The local outliers obtained in Step 2 will be recalculated LDS’s value across the data set