Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Edward E. Eiland"'
Autor:
Lorie M. Liebrock, Edward E. Eiland
Publikováno v:
Advances in Artificial Intelligence. 2013:1-22
Biological and medical endeavors are beginning to realize the benefits of artificial intelligence and machine learning. However, classification, prediction, and diagnostic (CPD) errors can cause significant losses, even loss of life. Hence, end users
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73b95caea5d089547687c28393e28be8
https://doi.org/10.1155/2013/427958
https://doi.org/10.1155/2013/427958
Autor:
Edward E. Eiland, Lorie M. Liebrock
Publikováno v:
Advances in Artificial Intelligence.
Many problem domains utilize discriminant analysis, for example, classification, prediction, and diagnoses, by applying artificial intelligence and machine learning. However, the results are rarely perfect and errors can cause significant losses. Hen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f88d0451dc9ac97ec6f10c2333cebe80
Autor:
Jeremy Impson, Eric Steinbrecher, Edward E. Eiland, Scott Charles Evans, Thomas Stephen Markham, Bruce Gordon Barnett
Publikováno v:
MILCOM 2008 - 2008 IEEE Military Communications Conference.
We apply MDL compress, a grammar inference engine, to network intrusion detection (NID). We specifically target HTTP payload analysis of deep packet inspection (DPI) utilizing the DARPA 1999 data sets for our normal network traffic base and create mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8812629702cbb831e5d87573cf21fbe5
https://doi.org/10.1109/milcom.2008.4753180
https://doi.org/10.1109/milcom.2008.4753180
Publikováno v:
MILCOM 2007 - IEEE Military Communications Conference.
MDLcompress is a grammar inference algorithm that uses Minimum Description Length principles from the theory of Kolmogorov Complexity and Algorithmic Information Theory to infer a grammar, finding patterns and motifs that aid most in compressing unkn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::169ed241a85452e73e8e3587c6349f6a
https://doi.org/10.1109/milcom.2007.4455304
https://doi.org/10.1109/milcom.2007.4455304
Autor:
Lorie M. Liebrock, Edward E. Eiland
Publikováno v:
IWIA
Zero-day attacks, new (anomalous) attacks exploiting previously unknown system vulnerabilities, are a serious threat. Defending against them is no easy task, however. Having identified "degree of system knowledge" as one difference between legitimate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2d3f3fb81c91bcfbe852406625b5b4b
https://doi.org/10.1109/iwia.2006.3
https://doi.org/10.1109/iwia.2006.3