AutoAI-TS: AutoAI for Time Series Forecasting
Syed Yousaf Shah, Dhaval Patel, et al.
SIGMOD 2021
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.
Syed Yousaf Shah, Dhaval Patel, et al.
SIGMOD 2021
Long Vu, Deepak S. Turaga, et al.
SIGMETRICS 2014
Jie Xu, Daby Sow, et al.
AAAI 2015
Hyunggon Park, Deepak S. Turaga, et al.
Ad Hoc Networks