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Computer security has been plagued by increasing formidable, dynamic, hard-to-detect, hard-to-predict, and hard-to-characterize hacking techniques.
Some methods for classification and analysis of multivariate observations
James MacQueen · 1967
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Latent Dirichlet allocation
David M. Blei, Andrew Y. Ng, Michael I. Jordan, and John Lafferty · 2003
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Variational inference for Dirichlet process mixtures
David M. Blei and Michael I. Jordan · 2005
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The Secure Shell (SSH) Protocol Assigned Numbers
S. Lehtinen and C. Lonvick · 2006
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A taxonomy of botnet structures
D. Dagon, G. Gu, C. Lee, and W. Lee · 2007
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Virtual Honeypots: From Botnet Tracking to Intrusion Detection
N. Provos and T. Holz · 2007
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Your botnet is my botnet: analysis of a botnet takeover
Brett Stone-Gross, Marco Cova, Lorenzo Cavallaro, Bob Gilbert, Martin Szydlowski, Richard Allen Kemmerer, Christopher Kruegel, and Giovanni Vigna · 2009
Cited alongside, same era.
Neural word embedding as implicit matrix factorization
Omer Levy and Yoav Goldberg · 2014
Cited alongside, same era.
Unsupervised deep embedding for clustering analysis
Junyuan Xie, Ross Girshick, and Ali Farhadi · 2016
Cited alongside, same era.
Temporal patterns in bot activities
Nikan Chavoshi, Hossein Hamooni, and Abdullah Mueen · 2017
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Deep clustering with convolutional autoencoders
Xifeng Guo, Xinwang Liu, En Zhu, and Jianping Yin · 2017
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Deep temporal clustering: Fully unsupervised learning of time-domain features
Naveen Sai Madiraju, Seid M. Sadat, Dimitry Fisher, and Homa Karimabadi · 2018
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Learning invariant representations of social media users
Nicholas Andrews and Marcus Bishop · 2019
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