BibSLEIGH — Machine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity

Blake Anderson, David A. McGrew
Machine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity
KDD, 2017.

KDD 2017

@inproceedings{KDD-2017-AndersonM,
	author        = "Blake Anderson and David A. McGrew",
	booktitle     = "{Proceedings of the 23rd International Conference on Knowledge Discovery and Data Mining}",
	doi           = "10.1145/3097983.3098163",
	isbn          = "978-1-4503-4887-4",
	pages         = "1723--1732",
	publisher     = "{ACM}",
	title         = "{Machine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity}",
	year          = 2017,
}

Blake Anderson, David A. McGrewMachine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-StationarityKDD, 2017.

Tags:

Blake Anderson, David A. McGrew
Machine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity
KDD, 2017.