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pro vyhledávání: '"Davis, Shawn"'
As the amount of cyber data continues to grow, cyber network defenders are faced with increasing amounts of data they must analyze to ensure the security of their networks. In addition, new types of attacks are constantly being created and executed g
Externí odkaz:
http://arxiv.org/abs/1808.10742
We evaluate methods for applying unsupervised anomaly detection to cybersecurity applications on computer network traffic data, or flow. We borrow from the natural language processing literature and conceptualize flow as a sort of "language" spoken b
Externí odkaz:
http://arxiv.org/abs/1805.03735
Autor:
Davis, Shawn Paul
Publikováno v:
Available online, Georgia Institute of Technology, 2004
Thesis (Ph. D.)--School of Chemical Engineering, Georgia Institute of Technology, 2004. Directed by Mark R. Prausnitz.
Vita. Includes bibliographical references (leaves 151-158).
Vita. Includes bibliographical references (leaves 151-158).
Externí odkaz:
http://etd.gatech.edu/theses/available/etd-06072004-131118/unrestricted/davis%5Fshawn%5Fp%5F200305%5Fphd.pdf
Autor:
McAllister, Devin V., Wang, Ping M., Davis, Shawn P., Park, Jung-Hwan, Canatella, Paul J., Allen, Mark G., Prausnitz, Mark R.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2003 Nov . 100(24), 13755-13760.
Externí odkaz:
https://www.jstor.org/stable/3148860
Autor:
Davis, Shawn R.
Publikováno v:
African Arts, 2002 Jul 01. 35(2), 66-92.
Externí odkaz:
https://www.jstor.org/stable/3337899
Akademický článek
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Autor:
Davis, Shawn K., Mullen, Karina C.
Publikováno v:
The George Wright Forum, 2015 Jan 01. 32(2), 151-164.
Externí odkaz:
https://www.jstor.org/stable/43598413
Publikováno v:
The George Wright Forum, 2013 Jan 01. 30(2), 182-189.
Externí odkaz:
https://www.jstor.org/stable/43599000