Houping Xiao, Yaliang Li, et al.
SDM 2015
We present Firstfilter, a new cost-sensitive classifier that detects malicious Uniform Resource Locations (URLs) in large-scale enterprise networks. Firstfilter classifies an input URL as benign, unknown, or malicious, and utilizes a cost matrix to select the most relevant features and to control model misclassifications. The cost matrix provides an effective tool to fine tune key performance metrics of the cost-sensitive classifier. We evaluate Firstfilter extensively with large-scale network datasets collected from an enterprise network for three months, spanning from June 2015 to August 2015. Our evaluation results show that Firstfilter consistently outperforms cost-insensitive classifiers and other binary classifiers.
Houping Xiao, Yaliang Li, et al.
SDM 2015
Long Vu, Venkata Pavuluri, et al.
DSN-W 2018
Nicholas Mastronarde, Deepak S. Turaga, et al.
IEEE Journal on Selected Areas in Communications
Alhussein Fawzi, Horst Samulowitz, et al.
IVMSP 2016