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pro vyhledávání: '"Scofield, Dan"'
Autor:
Oesch, Sean, Bridges, Robert, Smith, Jared, Beaver, Justin, Goodall, John, Huffer, Kelly, Miles, Craig, Scofield, Dan
Gartner, a large research and advisory company, anticipates that by 2024 80% of security operation centers (SOCs) will use machine learning (ML) based solutions to enhance their operations. In light of such widespread adoption, it is vital for the re
Externí odkaz:
http://arxiv.org/abs/2012.09013
Autor:
Pfeffer, Avi, Ruttenberg, Brian, Kellogg, Lee, Howard, Michael, Call, Catherine, O'Connor, Alison, Takata, Glenn, Reilly, Scott Neal, Patten, Terry, Taylor, Jason, Hall, Robert, Lakhotia, Arun, Miles, Craig, Scofield, Dan, Frank, Jared
Artificial intelligence methods have often been applied to perform specific functions or tasks in the cyber-defense realm. However, as adversary methods become more complex and difficult to divine, piecemeal efforts to understand cyber-attacks, and m
Externí odkaz:
http://arxiv.org/abs/1704.08716
Autor:
Scofield, Dan
Publikováno v:
CLICK HERE for online access.
Thesis (M.S.)--Brigham Young University. Dept. of Computer Science, 2007.
Includes bibliographical references (p. 49-51).
Includes bibliographical references (p. 49-51).
Externí odkaz:
http://contentdm.lib.byu.edu/ETD/image/etd1812.pdf
Autor:
Scofield, Daniel N.
Publikováno v:
Theses and Dissertations.
TCP can perform poorly in multi-hop wireless networks due to problems with contention and poor feedback from end-to-end control algorithms. This thesis explores the design of a hop-by-hop transport protocol (HxH). By allowing intermediate nodes to ac
Externí odkaz:
https://scholarsarchive.byu.edu/etd/889
https://scholarsarchive.byu.edu/context/etd/article/1888/viewcontent/ETD_CISOPTR_1012.pdf
https://scholarsarchive.byu.edu/context/etd/article/1888/viewcontent/ETD_CISOPTR_1012.pdf