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BoTGen: A new approach for in-lab generation of botnet datasets

contributor authorElSheikh, Muhammad H.
contributor authorGadelrab, Mohammed S.
contributor authorGhoneim, Mahmoud A.
contributor authorRashwan, Mohsen
date accessioned2020-03-12T22:15:03Z
date available2020-03-12T22:15:03Z
date issued2014
identifier other6999406.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1076448?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleBoTGen: A new approach for in-lab generation of botnet datasets
typeConference Paper
contenttypeMetadata Only
identifier padid8212659
subject keywordsabsorption coefficients
subject keywordsn high-speed optical techniques
subject keywordsn nonlinear optics
subject keywordsn optical saturable absorption
subject keywordsn organic compounds
subject keywordsn BODIPY
subject keywordsn Z-scan technique
subject keywordsn boron dipyrromethene derivatives
subject keywordsn infrared laser pulses
subject keywordsn nonlinear absorption coefficient
subject keywordsn nonlinear refraction
subject keywordsn saturable absorption
subject keywordsn third-order nonlinear optical properties
subject keywordsn time 35 ps
subject keywordsn time 4 ns
subject keywordsn visible excitation
subject keywordsn visible laser pulses
subject keywordsn Absorption
subject keywordsn Integrated optics
subject keywordsn La
identifier doi10.1109/ICTON.2014.6876643
journal titlealicious and Unwanted Software: The Americas (MALWARE), 2014 9th International Conference on
filesize614764
citations0


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