Classifiers Unclassified: An Efficient Approach to Revealing IP Traffic Classification Rules

Article Details
Title:	Classifiers Unclassified: An Efficient Approach to Revealing IP Traffic Classification Rules
Article URLs:	http://dl.acm.org/citation.cfm?id=2987464
Alternative Article URLs:
Authors:	Fangfan Li	Northeastern University
	Arash Molavi Kakhki	Northeastern University
	David R. Choffnes	Northeastern University
	Phillipa Gill	Stony Brook University
	Alan Mislove	Northeastern University
Sharing:	Research produced artifacts
Verification:	Authors have verified information
Artifact Evaluation Badge:	none
Artifact URLs:	http://dd.meddle.mobi/classifier.html
Artifact Correspondence Email Addresses:
NSF Award Numbers:	1617728, 1350720, 1518845
DBLP Key:	conf/imc/LiKCGM16
Author Comments:

ACM Internet Measurement Conference, IMC 2016